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<p>I'm giving you a bit of background before asking my question. I've done a univariate PLS regression where I came out with many models.</p> <p>My boss asked to interpret the PLS regression for the best model.</p> <p>As I've never done a PLS before, I don't know how to interpret that. </p> <p>What does he mean by i...
g67451
[ 0.009748933836817741, 0.01641482673585415, 0.006711951456964016, -0.03814312443137169, 0.04623342305421829, 0.008726206608116627, 0.0245488490909338, 0.05827726051211357, -0.019062303006649017, -0.06048458442091942, 0.00929266307502985, -0.0045033786445856094, 0.04731503129005432, 0.002961...
<p>I have a spreadsheet with Titles in the first column, descriptions in the second column and whether or not they were included in our screening in the third column. We are attempting to find out which individual words were related to inclusion versus exclusion so that we can use them in a much larger data set. From m...
g67452
[ 0.062490832060575485, 0.031153684481978416, -0.005667171441018581, -0.004848912358283997, -0.03047507256269455, -0.008546111173927784, 0.01651226542890072, 0.012477441690862179, -0.01875171810388565, -0.018824366852641106, 0.006908685900270939, 0.026259835809469223, 0.07388134300708771, 0....
<p><a href="http://www.cs.cmu.edu/~tom/10701_sp11/slides/Kernels_SVM2_04_12_2011-ann.pdf" rel="nofollow">Here</a> on slide 3 I see the claim that for linearly separable cases the number of support vectors will be d+1, where d is the dimension we are working on.</p> <p>What if my data is not linearly separable and I us...
g67453
[ 0.02861163765192032, 0.022256512194871902, 0.015617107041180134, -0.03190416842699051, -0.014661774039268494, -0.023927178233861923, -0.010981183499097824, 0.03404562547802925, -0.05286072567105293, -0.021777629852294922, -0.020442849025130272, -0.010578764602541924, 0.0050441729836165905, ...
<p>I Have read "<em>Manufacturing Planning and Control for Supply Chain Management 6th Edition</em>" by F.Robert Jacobs. I found the problem on the <strong>Periodic Order Quantities (POQ)</strong>. As I know <strong>POQ</strong> calculation is after calculate the <strong>Economic Order Quantity (EOQ)</strong>.</p> <p>...
g67454
[ 0.001338623114861548, 0.033337514847517014, -0.006657969672232866, -0.03836922347545624, -0.02581673115491867, -0.03360874205827713, -0.023161109536886215, -0.00073406589217484, -0.01177474856376648, 0.014798964373767376, 0.0012597186723724008, 0.0030197452288120985, 0.037762854248285294, ...
<p>I recently stumbled across <a href="http://www.javamex.com/tutorials/random_numbers/" rel="nofollow">an article</a> on pseudorandom numbers in Java which mention potential weaknesses in the default algorithm, called linear congruential generator (LCG), and gives <a href="http://www.javamex.com/tutorials/random_numbe...
g39585
[ -0.03918498381972313, 0.011979686096310616, -0.013300487771630287, -0.09875153750181198, -0.01457536406815052, -0.08841636031866074, 0.04726456105709076, 0.005606930237263441, -0.03437015414237976, -0.007817708887159824, -0.042529817670583725, 0.02064564824104309, 0.021593831479549408, 0.0...
<p>I've created an error plot with CI 95% to visualize the difference (post test - pre test) between achieved scores. </p> <p><img src="http://i.imgur.com/C28LGA0.png" alt="error bars"></p> <p>n = 64</p> <p>Judging from the confidence intervals one could conclude that there's is no significant improvement between th...
g67455
[ 0.038002654910087585, -0.049394652247428894, -0.009298065677285194, 0.020168179646134377, 0.02089839242398739, 0.002958251629024744, 0.1020159050822258, 0.03214244544506073, -0.0025018907617777586, -0.040935587137937546, -0.0075728390365839005, 0.043258436024188995, 0.009328816086053848, -...
<p>In the Support Vector Machine (SVM), non-linear data are mapped to a higher-dimensional feature space to be separated linearly, a kernel is used to compute the inner product in the lower dimensional space, and this is called 'kernel trick'. </p> <p>In Gaussian Process Regression (GPR), there are two ways to think a...
g67456
[ 0.0035905991680920124, -0.007909880019724369, -0.015872880816459656, 0.012967503629624844, -0.03006398119032383, 0.03246820345520973, 0.01623290590941906, 0.04952656477689743, -0.08370625972747803, -0.04731655493378639, 0.04059989005327225, 0.021238459274172783, 0.06508588045835495, 0.0124...
<p>I am frustrated of looking for a simple explanation of this term $\phi$-divergence, but I cannot find any. Therefore I would be really grateful if somebody could introduce a reference or write a definition (even qualitivative for it). Here is the paper that I first noticed the term in:</p> <p>Jiménez, R., and J. E...
g67457
[ 0.06048107519745827, 0.05488692224025726, -0.010293194092810154, -0.06260167062282562, 0.004850912373512983, 0.003997997846454382, 0.02486862614750862, -0.010695364326238632, -0.003091806313022971, -0.04682154208421707, -0.04691657796502113, -0.02364967204630375, 0.02840210124850273, 0.001...
<p>For a simulation study I have to generate random variables that show a prefined (population) correlation to an existing variable $Y$.</p> <p>I looked into the <code>R</code> packages <code>copula</code> and <code>CDVine</code> which can produce random multivariate distributions with a given dependency structure. It...
g26993
[ -0.0028660763055086136, -0.07450929284095764, -0.010476812720298767, -0.07557561993598938, -0.016642378643155098, -0.019886674359440804, 0.01507773157209158, -0.007452530320733786, -0.019717076793313026, -0.04181138798594475, -0.02529246360063553, -0.01807030662894249, 0.022201871499419212, ...
<p>Let's say we have the statistics given below</p> <pre><code>gender mean sd n f 1.666667 0.5773503 3 m 4.500000 0.5773503 4 </code></pre> <p>How do you perform a two-sample t-test (to see if there is a significant difference between the means of men and women in some variable) using statistics like this rather than...
g49313
[ -0.01813299022614956, 0.0139463534578681, 0.013174591585993767, -0.06499302387237549, -0.015022722072899342, -0.015332241542637348, 0.012813840061426163, -0.030141081660985947, -0.06490646302700043, -0.02047434076666832, -0.04188196361064911, 0.0319201834499836, 0.06107179448008537, -0.002...
<p>I used a SVM to perform classifications on the same sample and I get the following results:</p> <p>Good classifications:</p> <pre><code> baseline : 78% transformation 1 : 79% transformation 2 : 63% </code></pre> <p>I do not know which test to use to tell if the performance difference is significant (ie. is...
g26996
[ 0.025092005729675293, 0.009295440278947353, -0.008987128734588623, -0.036452651023864746, 0.014616230502724648, -0.02395254746079445, 0.03589945659041405, 0.057402998208999634, -0.014428363181650639, 0.011285066604614258, 0.0211680606007576, 0.04446754977107048, 0.02478492632508278, -0.001...
<p>fT(t;B,C) = exp(-t/C)-exp(-t/B) / C-B where our mean is C+B and t>0.</p> <p>so far i have found my log likelihood functions and differentiated them as follows:</p> <p>dl/dB = sum[t*exp(t/C) / (B^2(exp(t/c)-exp(t/B)))] +n/(C-B) = 0</p> <p>i have also found a similar dl/dC.</p> <p>I have now been asked to comment ...
g26997
[ 0.013328757137060165, 0.004634030628949404, -0.00504554808139801, -0.05983728915452957, 0.006005354691296816, -0.03356598690152168, 0.0226306039839983, 0.008712628856301308, -0.04288516566157341, -0.006665436550974846, -0.08749831467866898, 0.001748560694977641, 0.06085868924856186, 0.0466...
<p>I have a 200 samples from a population, and I want the p-value to test for significance. What test should I use?</p> <p>Is t-test ok? How do you determine what test to use?</p>
g26998
[ 0.0240804310888052, 0.04433261975646019, 0.004179666750133038, -0.04649787023663521, -0.009405853226780891, -0.02325599640607834, 0.008232276886701584, 0.03685574233531952, 0.011764571070671082, -0.011980081908404827, 0.0014081579865887761, -0.011581474915146828, 0.01991189457476139, 0.002...
<p>Given this joint probability distribution table</p> <pre><code> | A | B | C X | 0.15 | 0.03 | 0.07 notX | 0.05 | 0.25 | 0.45 </code></pre> <p>I've to calc the following probabilities</p> <pre><code>P(B or X) = ? P(C or notX) = ? </code></pre> <p>So far I got this solution:</p> <pre><code>...
g39627
[ 0.052668213844299316, 0.02140309289097786, 0.007812244351953268, -0.04114334285259247, 0.00946091953665018, -0.012365278787910938, 0.020836159586906433, 0.023683495819568634, -0.04890363663434982, -0.00884269643574953, -0.013783740811049938, 0.04346578195691109, 0.0019973183516412973, -0.0...
<p>I am recently learning item response theory, which is always used to select some combinations of tests for students of different specific levels. Then I have an immature idea. <strong>Could I apply item response theory to model selection for prediction?</strong> In this case, model prediction ability would be Y and ...
g67458
[ -0.04878025874495506, -0.02207271009683609, 0.020171400159597397, -0.010507834143936634, 0.0024289910215884447, -0.013172436505556107, -0.023413723334670067, 0.06555891036987305, 0.003199104219675064, 0.00822476390749216, 0.037987105548381805, -0.008921518921852112, 0.06641431897878647, 0....
<p>Consider there are $N$ individuals and these measure a quantity $X\in \mathbb{R}^{N\times M}$ where $M$ is the number of measurements and let $P(X)$ denote a probability distribution over $X$. The objective is to select a subset of individuals with size $n$ $(n\leq N)$ such that the probability distribution of the m...
g27002
[ 0.0024479383137077093, -0.014234548434615135, -0.01615762524306774, -0.049909837543964386, -0.01743229664862156, 0.02440640702843666, 0.027833806350827217, -0.019196653738617897, -0.009964613243937492, -0.0036289975978434086, -0.059522200375795364, -0.02198561653494835, -0.0157573651522398, ...
<p>Let's say I have a large collection of emails and I want to classify in two different class: <em>Non-Spam</em>, <em>Spam</em>. Assume this classification process is very costly, but I have access to an approximate classification procedure that outputs a value $\kappa$ in the range $[0;1]$. In general the method beha...
g27004
[ 0.0029448457062244415, -0.02497502788901329, 0.0008436698117293417, -0.049922876060009, -0.0036423178389668465, 0.008305317722260952, 0.014394588768482208, 0.04379082843661308, -0.05171923339366913, 0.023134587332606316, -0.0021596632432192564, 0.09587841480970383, 0.05695208162069321, 0.0...
<p>I've a dataset of individuals from which I would like to impute the missing values for 'Age'. Althought the set has several columns, I noticed the most relevant one in respect to Age is the column 'Title' (ie. 'Miss', 'Mrs', 'Mr', 'Dr' and so on). My imputation is quite trivial atm:</p> <pre><code>individual$Age[wh...
g67459
[ 0.01806444302201271, -0.02556406334042549, -0.00809683557599783, -0.04554533213376999, 0.009340253658592701, -0.009348162449896336, -0.00714826351031661, 0.014610931277275085, -0.03320034220814705, 0.012270099483430386, 0.004092509858310223, 0.010722929611802101, 0.051948051899671555, 0.03...
<p>I have data for 352 response ratings that have been categorized as "Low," "Medium," and "High." I would like to compare the differences of five variables across the three categories to see which ones have significant differences. In the end I would like to be able to say something like, "variable 1 differed signific...
g27005
[ -0.04032566025853157, -0.03723375126719475, -0.003273590002208948, -0.09911841154098511, -0.014234415255486965, 0.0003800425911322236, -0.010386532172560692, 0.007535443175584078, -0.04084201157093048, 0.012814166024327278, 0.02973386086523533, -0.007475401274859905, 0.033431828022003174, ...
<p>I am modeling a binary event of whether a sale will happen or not for an online retailer. I have millions of clicks to refer to. Needless to say the rate of sales happening is very very low (&lt;1%). Now, to model this event, I am taking the product price to be one of the predictor variables that i am passing in the...
g27007
[ 0.006177967414259911, 0.023181447759270668, 0.003129139542579651, -0.008662895299494267, 0.01787925511598587, -0.05329554155468941, 0.04943392425775528, 0.011128210462629795, -0.048165127635002136, 0.010691658593714237, 0.015872862190008163, -0.025168487802147865, 0.050779104232788086, -0....
<p>I need to conduct a type II anova. Therefore, I use the <code>Anova</code> function from the <code>car</code> package. In addition, for <code>Factor1</code> I want to use a polynomial contrast matrix to see linear and quadratic effects.</p> <p>However, using the <code>Anova</code> function from the <code>car</code>...
g47601
[ 0.016076307743787766, -0.04932023957371712, -0.005885477643460035, -0.04517031088471413, 0.017728134989738464, -0.06095527857542038, 0.011853407137095928, -0.006027768831700087, 0.001509369700215757, 0.01781025528907776, -0.040142133831977844, 0.03645655885338783, -0.0002510049962438643, 0...
<h3>Background</h3> <p>I am a physics major, however I am currently interning at a psychiatry/neuro-imaging laboratory. The primary area of research in my lab is diffusion tensor imaging (DTI). A lot of the studies that are conducted here are group comparisons between "normal" controls, and patients whose brains are t...
g33134
[ -0.05541511997580528, 0.03588543087244034, -0.01148576382547617, -0.028127584606409073, -0.015141812153160572, -0.03251282870769501, 0.04113036394119263, 0.016377339139580727, -0.040080904960632324, -0.039394740015268326, 0.025461584329605103, 0.020053070038557053, 0.03924941271543503, -0....
<p>How do we build a model, cross validate it and use it to predict for unknown data?</p> <p>Say I have a known dataset of 100 points. Steps for 10 fold cross-validation are-</p> <ol> <li>Divide the data randomly into training and test datasets in a ratio of 90:10</li> <li>Make a model on the training dataset (90 poi...
g67460
[ 0.025130875408649445, -0.03616365045309067, 0.018607620149850845, -0.03652120754122734, 0.02807055413722992, -0.02034061588346958, -0.00195373990572989, 0.03599332645535469, -0.05193796753883362, 0.0034190071746706963, 0.018914366140961647, 0.015506118535995483, 0.06790964305400848, 0.0011...
<p>I have multiple samples of a time series (for example, the time series might be minutely samples from 12am to 3pm, and I have that for ten different days) and I'd like to compute the autocorrelation function $\rho(k)$ together with confidence intervals.</p> <p>I can think of two "obvious" things to do:</p> <ol> <l...
g27011
[ 0.032276347279548645, -0.04924808815121651, -0.0022433921694755554, -0.03365221619606018, -0.024816621094942093, -0.045526355504989624, -0.0060364799574017525, 0.024325476959347725, -0.0627267062664032, 0.01140829548239708, 0.02812541462481022, 0.028411976993083954, 0.008581706322729588, -...
<p>I have a linear regression problem with about 120 predictors and I tried to remove a number of predictors from it. First I tried to remove multi-collinearities by calculating the variance inflation factor. This left me with about 20 different (hopefully not collinear anymore) predictors. Then I used a PCA to reduce ...
g67461
[ 0.02125643379986286, -0.039311692118644714, 0.01701381988823414, -0.035792771726846695, -0.0008292158599942923, -0.052092984318733215, 0.04335104301571846, 0.02463637851178646, -0.029847055673599243, -0.03419657424092293, -0.004731629975140095, -0.007012528833001852, 0.002660052152350545, ...
<p>I am not a statistician but a Java/R programmer. So even the topic could be wrong. Please bear with me.</p> <p>I am collecting details from production servers. These details could be the number of active sessions, CPU utilization etc. I draw graphs. So for example, I have a R graph showing Time(x), Web Server hits(...
g67462
[ 0.052571263164281845, 0.043209467083215714, -0.029852457344532013, -0.006420707795768976, -0.04797745123505592, -0.018992388620972633, 0.0786740854382515, -0.020978862419724464, -0.025801492854952812, -0.06257703900337219, -0.018213430419564247, -0.003124871524050832, 0.08665066212415695, ...
<p>I have a survey based on a Likert-scale (1-5) with around 20 variables and 140 cases. Since some people only cross from 1 to 3 for all questions (variables) and others cross 1-5, I want to standardize the values. So I want to calculate the average of all variables of one person to use the result for the standardizat...
g27013
[ 0.013902412727475166, -0.036368612200021744, 0.0011366381077095866, -0.06283781677484512, -0.044820863753557205, -0.0026673306711018085, -0.027104325592517853, 0.06720811873674393, -0.009603862650692463, -0.015501609072089195, 0.028919953852891922, 0.001317066722549498, 0.026244161650538445,...
<p>Is it possible to plot a partial dependency plot to display the class probability and estimate the effects of a predictor for a <a href="http://cran.r-project.org/web/packages/gbm/gbm.pdf" rel="nofollow">GBM</a> model? Something similar to <code>partialPlot</code> from <code>randomForest</code> package.</p> <p><im...
g67463
[ -0.015677377581596375, -0.04184580221772194, 0.0016952253645285964, -0.06539762765169144, -0.05108632892370224, -0.021985014900565147, 0.046699248254299164, 0.008895316161215305, -0.025080688297748566, -0.0363641157746315, 0.04197137430310249, 0.01804758422076702, 0.037923332303762436, 0.0...
<p>I wish to test some model fitting software and I would like to generate synthetic datasets for this test. The synthetic data is supposed to originate from a experiment that measures the change in concentration of a substance over time. I can generate error free data for such an experiment using a differential equati...
g67464
[ 0.03912242874503136, -0.05033363774418831, -0.006425059400498867, -0.04033518582582474, 0.007911602035164833, 0.029857663437724113, -0.013728945516049862, 0.045101918280124664, -0.06572714447975159, -0.006864110939204693, 0.011127937585115433, 0.0026911708991974592, 0.0495571494102478, 0.0...
<p>In Dixon, Coles (<a href="http://www.math.ku.dk/~rolf/teaching/thesis/DixonColes.pdf" rel="nofollow">1997</a>), they have used the maximum likelihood estimation for the two modified independent Poisson models in (4.3) to model the scores in soccer.</p> <p>I am trying to use R in order to "reproduce" the alpha and b...
g67465
[ -0.00008539537520846352, -0.06444418430328369, -0.01835305243730545, -0.0314592644572258, -0.00808295514434576, -0.024119505658745766, -0.03284922614693642, 0.04976657032966614, -0.05047569051384926, 0.018027139827609062, -0.025515960529446602, -0.025809962302446365, 0.024465737864375114, ...
<p>After some frantic googling I do believe the answer is yes, but more so I am frustrated that the relation between the two parameters seems to be nowhere described explicitely so I do it here. (I hope this isn't against the rules of stackexchange.)</p> <p><a href="http://digitalcommons.unl.edu/cgi/viewcontent.cgi?ar...
g67466
[ 0.03916866332292557, -0.013320541009306908, 0.0008224000339396298, 0.032532837241888046, 0.017153607681393623, -0.0018192763673141599, 0.018199549987912178, -0.022516723722219467, -0.06724239140748978, 0.014765040948987007, -0.0018290318548679352, -0.0033805526327341795, 0.028364185243844986...
<p>Say I have run a Hierarchical Bayesian model in STAN (or JAGS or BUGS) and I have the posterior samples of two slope parameters that I want to compare: $\beta_1$ and $\beta_2$. The model appears to have converged properly.</p> <p>So I look at the density of the difference of the MCMC samples of the posteriors of th...
g27016
[ 0.07467300444841385, -0.0005269537796266377, -0.021244456991553307, -0.003775128396227956, 0.04585915431380272, 0.009099195711314678, 0.014396282844245434, 0.018322890624403954, -0.08119125664234161, -0.0446910485625267, -0.01063865702599287, 0.02832949534058571, 0.04058649018406868, 0.001...
<p>I want to group the outcome of a function into 2 (or 3) categories.</p> <p>I have a function efficiency=f(weight,speed,#refueling_stops) that takes 3 input parameters and the output tells me how "efficient" a truck is. My goal is to take the most inefficient trucks off the road. However, I don't know which truck to...
g27017
[ -0.03915703669190407, -0.0328940711915493, 0.0023763994686305523, -0.1023252010345459, 0.004911506548523903, -0.04575959965586662, -0.013825559988617897, 0.00610768748447299, -0.06873559206724167, -0.021300358697772026, 0.07138803601264954, -0.01287203747779131, 0.07182547450065613, 0.0264...
<p>I am conducting a preliminary study, where people assess (7-point likert scala) different pictures. Besides asking for my 2 Independent variables (which are the manipulations for my main study, an experiment) I included a third question, the covariate variable. </p> <p>I need to calculate / quantify if this covaria...
g27018
[ -0.05555509775876999, -0.012212535366415977, -0.0193784236907959, -0.048297956585884094, -0.03801269456744194, -0.03236021474003792, 0.004191390238702297, -0.024573849514126778, -0.011338098905980587, 0.017179610207676888, -0.010635048151016235, 0.05726306512951851, -0.0039747655391693115, ...
<p>Can someone explain me in a intuitive way what the periodicity of a Markov chain is?</p> <p>It is defined as follows:</p> <p>For all states $i$ in $S$</p> <p>$d_i$=gcd$\{n \in \mathbb{N} | p_{ii}^{(n)} &gt; 0\} =1$</p> <p>Thank you for your effort! </p>
g67467
[ -0.009849482215940952, 0.007213642355054617, 0.0014683104818686843, 0.012955870479345322, 0.010144740343093872, 0.001415720209479332, 0.0018505577463656664, 0.03550257906317711, 0.015598436817526817, -0.019937332719564438, -0.03746872767806053, 0.021651623770594597, 0.002187576377764344, -...
<p>I'm using linear regression to predict a continuous variable using a large number (~200) of binary indicator variables. I have around 2,500 data rows. There are a couple of issues here:</p> <ul> <li>When I run univariate regressions, most of the indicators have significant associations with the dependent variable (...
g802
[ 0.018702557310461998, -0.01054334919899702, -0.005853258538991213, -0.030001061037182808, 0.03853796422481537, -0.03567060828208923, 0.05810866504907608, 0.057388462126255035, 0.012124585919082165, -0.013839447870850563, -0.016776805743575096, 0.021302420645952225, 0.06161164119839668, -0....
<p>I would like to understand better how to solve least squares in a sequential/recursive way.</p> <p>How to use weights in the least squares if the following problem:</p> <pre><code>y = A*a + B*b </code></pre> <p>where the estimation of <code>a</code> should be recursively updated, and <code>b</code> should be esti...
g67468
[ 0.0658770501613617, -0.004114098846912384, -0.005908888299018145, -0.0560305081307888, -0.0034075502771884203, -0.06744370609521866, -0.014637463726103306, 0.034024741500616074, -0.014827550388872623, 0.03201598674058914, -0.03819095343351364, 0.040017206221818924, 0.035921841859817505, 0....
<p>I have two questions:</p> <p>1- What are the applications of recurrent neural networks?</p> <p>2- Can you recommend some good resources/papers/tutorials that introduce recurrent neural networks?</p>
g67469
[ 0.0328388437628746, 0.00250859628431499, 0.0168953537940979, 0.04534424468874931, 0.030838143080472946, -0.05335414409637451, 0.024225955829024315, 0.04793185368180275, -0.03557383269071579, -0.010600272566080093, -0.060403332114219666, 0.04527221620082855, 0.03405724838376045, 0.012481011...
<p>Can anyone help in model estimation ? The following are the ACF,PACF and the plot of the sample respectively.</p> <p><img src="http://i.stack.imgur.com/1RxDS.png" alt="plot of data"></p> <p><img src="http://i.stack.imgur.com/ft0Ls.png" alt="acf of data"></p> <p><img src="http://i.stack.imgur.com/9QqEN.png" alt="p...
g67470
[ 0.00024680059868842363, -0.03140852972865105, -0.014804326929152012, -0.09267047047615051, 0.026720236986875534, -0.03971177339553833, 0.019213180989027023, -0.04131040349602699, -0.027249930426478386, 0.012003814801573753, 0.005845626350492239, 0.0014377640327438712, 0.03333205729722977, ...
<p>I have a dataset with 14 variables, of which one random effect (Patient) I fitted following code:</p> <p>"fit1_B2=lmmlasso(y=y,x=x.matrix,z=z,grp=grp,lambda=0.1,pdMat="pdIdent") summary(fit1_B2) fit1_B2$aic"</p> <p>I have, however, chosen the penalty parameter at random. The purpose is to obtain the penalty parame...
g67471
[ 0.042362794280052185, -0.011966218240559101, -0.022810786962509155, -0.09038989245891571, 0.031242208555340767, -0.04712369665503502, 0.03772078827023506, 0.014474481344223022, -0.047405946999788284, 0.030176682397723198, 0.003771992865949869, 0.0644555538892746, 0.033192817121744156, 0.00...
<p>I'm doing simulated annealing, following a recipe I have -</p> <ol> <li>Compute the energy of current state and a neighbor state.</li> <li>If the energy of the neighbor is lower - move to neighbor.</li> <li>If not - move to neighbor with probability $e^{-\Delta/\tau}$ where $\Delta$ is the difference between new en...
g67472
[ -0.006533452309668064, 0.012362741865217686, -0.005202512256801128, -0.019451092928647995, -0.013820135034620762, -0.037730325013399124, -0.0030713696032762527, 0.07962846755981445, -0.050957873463630676, -0.018931131809949875, 0.03278157860040665, 0.031341876834630966, 0.07381085306406021, ...
<p>The hypergeometric distribution is <a href="http://en.wikipedia.org/wiki/Hypergeometric_distribution#Definition" rel="nofollow">defined</a> for $\max(0, n+K-N)\leq k\leq \min(K,n).$ But, when we use Vandermonde's identity to prove that <a href="http://en.wikipedia.org/wiki/Hypergeometric_distribution#Combinatorial_i...
g67473
[ 0.03506353124976158, 0.03795918449759483, -0.022919952869415283, 0.017667174339294434, 0.01972060836851597, -0.0055245449766516685, 0.012529423460364342, -0.01860165409743786, -0.040575094521045685, -0.03211095556616783, -0.04295894876122475, -0.008967345580458641, 0.033455654978752136, 0....
<p>I am running a glm in R on data with quite many predictors (~50), both initially continuous and factors. The response is binary and the volume of the data is OK (~100K rows), in order to model non-linear relationships, I convert the continuous variables to factors as well. In the end this results in some levels of s...
g67474
[ 0.007061689626425505, -0.05668502300977707, -0.011931139975786209, -0.00841026846319437, 0.005148980300873518, -0.019896697252988815, 0.052463676780462265, 0.008325052447617054, -0.039279572665691376, -0.011557554826140404, 0.00008022968540899456, 0.030602505430579185, 0.023438140749931335, ...
<p>I have an equation composed of one explained variable and three explanatory variables, which are all non-stationary. Is it possible to add for the equation another two variables: a time trend and a binary variables and then check for cointegration (with proper results)?</p>
g67475
[ 0.03614000231027603, -0.028714708983898163, 0.0012548139784485102, -0.03703897073864937, 0.03749532252550125, -0.03300248458981514, 0.025907207280397415, 0.02247590757906437, -0.052644651383161545, 0.004179574549198151, -0.04031810909509659, 0.011847035028040409, -0.009590269066393375, 0.0...
<p>I am confused about the usage of <code>lm</code> and <code>predict</code> in R. I have a predictor variable $x$ and an output variable $y$, and I want to perform a univariate regression analysis. I have $15$ predictor samples from $x$, and $15$ output samples from $y$ which I will use for training. Then, I want to g...
g67476
[ 0.011969720013439655, -0.050633348524570465, 0.00468656187877059, -0.03747360035777092, -0.02740495279431343, -0.05401298776268959, 0.015592286363244057, 0.0014922854024916887, -0.04661376029253006, -0.051115911453962326, 0.015058544464409351, 0.06590242683887482, 0.04533214122056961, -0.0...
<p>Is there an equivalent of the two-sample Kolmogorov-Smirnov test for integer data (not count data, as it can include negative integers)?</p> <p>The Kolmogorov-Smirnov test does not perform well in the presence of lots of ties, which are obviously common with integers.</p>
g67477
[ -0.0004804401542060077, 0.01699266955256462, -0.007104049902409315, -0.0149278799071908, -0.05648135393857956, -0.014904421754181385, -0.05108219385147095, 0.03025493584573269, 0.026959270238876343, -0.0039342124946415424, 0.010749321430921555, 0.04543996974825859, -0.01099812239408493, 0....
<p>In regression analysis what's the difference between 'data-generation process' and 'model'? </p>
g47115
[ 0.04598051309585571, -0.004161581862717867, -0.030712269246578217, -0.02718830294907093, 0.04921945929527283, 0.027474503964185715, 0.03479951247572899, 0.029008876532316208, -0.057904284447431564, -0.04308832064270973, -0.025955187156796455, 0.00889567006379366, 0.07024475187063217, -0.01...
<p>I have a behavioral measure obtained from N participants over 5 levels of a condition C -- 10, 30, 50, 70, an, 90 degrees. With a one-way repeated measures ANOVA, I find a significant effect of C. Now qualitatively it appears that the behavioral measure increases from 10 to 30, and slightly from 30 to 50, but then s...
g67478
[ -0.021966228261590004, 0.04013736546039581, -0.029725005850195885, -0.049399394541978836, 0.0103753712028265, -0.018941882997751236, 0.008350000716745853, -0.00948122888803482, -0.007866100408136845, 0.003526432439684868, -0.04229556396603584, 0.011174228973686695, -0.00624585896730423, 0....
<p>I had to put the majority of the question in the textbox as Cross Validated didn't like the fact my question was too long....but here it is, in terms of what I wanted to ask:</p> <p>Due to a small sample size (i.e. large earthquakes are rare), does predicting 'post-large earthquake aftershocks' suffer from the same...
g67479
[ 0.011425443924963474, -0.0266572292894125, 0.04434895142912865, 0.0412444993853569, -0.04098580777645111, -0.040526021271944046, 0.05752561613917351, 0.03717790171504021, 0.024685993790626526, -0.05553493648767471, -0.01308970432728529, -0.047424864023923874, 0.037136949598789215, -0.05351...
<p>I have gene expression data in two samples like this:</p> <pre><code>Gene s1 s2 C9orf152 2.96295 2.99861 RPS11 11.2968 11.0775 ELMO2 8.16786 7.6039 CREB3L1 6.24832 6.69416 PNMA1 8.11559 7.90189 MMP2 8.32177 7.06863 TMEM216 5.48133 5.68662 C10orf90 2.91206 3.11626 Z...
g67480
[ -0.007637747097760439, -0.0397300161421299, 0.004194659646600485, -0.04430031776428223, 0.03178083151578903, -0.023782825097441673, 0.0035087650176137686, 0.029887588694691658, -0.03687894716858864, -0.022628391161561012, -0.03735733404755592, 0.05649431794881821, 0.0062396591529250145, -0...
<p>I am beginner with lme4 and I am seeking some advice on how to carry a variance component analysis.</p> <p>The data come from a real-world scenario, not from a designed experiment, resulting in a complex nesting structure:</p> <ul> <li><p><em>"Students"</em> are examined on 4 different practical <em>"Topics"</em>....
g27027
[ -0.05258714407682419, -0.028334490954875946, -0.0012834088411182165, -0.06763820350170135, 0.009901687502861023, -0.023213105276226997, 0.05942227318882942, -0.012962931767106056, -0.0022568446584045887, -0.013593272306025028, 0.015140033327043056, 0.0025002004113048315, 0.009716572239995003...
<p>How bad is it to use pooled OLS instead of fixed effects when you have 7 years of panel data? From what I have understood, the risk is that the coefficients will be correlated with the error term, thus making the estimates biased. There will be some form of endogeneity.</p> <p>Would it help if I include year dummie...
g803
[ -0.009235315024852753, -0.02946941927075386, 0.007416306529194117, -0.0555625855922699, 0.036858219653367996, 0.006231175735592842, 0.00004707068364950828, 0.013847989961504936, 0.0019997861236333847, -0.023035014048218727, -0.002519373781979084, 0.021065017208456993, 0.04855512082576752, ...
<p>I was trying to understand what are good (or standard) way of evaluating relative accuracy for continuous data.</p> <p>Say for example, say I have some statistical algorithm S that outputs some real number from a vector of data. Something like $S:\mathbb{R}^k \mapsto \mathbb{R}$</p> <p>Intuitively what I am intere...
g67481
[ 0.02894170582294464, -0.04840334504842758, -0.020609552040696144, -0.00560352485626936, -0.05242979899048805, -0.014235451817512512, 0.05217606946825981, 0.05423504114151001, -0.10254062712192535, 0.005699105095118284, 0.022309664636850357, -0.004222582560032606, 0.08660364151000977, -0.01...
<p>I am doing feature selection using the command 'rfe' in the caret package (<a href="http://caret.r-forge.r-project.org/featureselection.html" rel="nofollow">http://caret.r-forge.r-project.org/featureselection.html</a>). This command uses a metric to find the optimal amount of variables and which variables that is. H...
g67482
[ -0.014002891257405281, -0.02057741954922676, -0.02392730675637722, -0.050068363547325134, 0.0388159416615963, -0.07968040555715561, 0.022196972742676735, 0.017345234751701355, -0.08864503353834152, -0.030095791444182396, -0.012366415932774544, 0.04960309714078903, 0.05909404903650284, 0.04...
<p>I am faced with a challenging problem. Suppose I have a large dataset with many attributes and I can filter the data using a set of attributes. The problem is in the event we have a large number of filters how can we use statistics to determine which data to show as visualization to the end user. The end user cannot...
g67483
[ -0.017275206744670868, 0.06446433067321777, -0.011851220391690731, -0.05862942337989807, -0.018949368968605995, -0.08121823519468307, 0.06518062204122543, 0.023988336324691772, -0.012419397011399269, -0.008073164150118828, 0.007360177114605904, 0.007825663313269615, 0.08451659232378006, 0....
<p>Field's Discovering Statistics Using SPSS (2013) defines sphericity as follows:</p> <blockquote> <p>Sphericity: a less restrictive form of compound symmetry which assumes that the variances of the differences between data taken from the same participant (or other entity being tested) are equal. This assumptio...
g67484
[ 0.029747631400823593, -0.018157528713345528, 0.016609488055109978, -0.04591688513755798, 0.012805857695639133, 0.001940809772349894, 0.0364927239716053, 0.024520015344023705, -0.030224857851862907, -0.004014844074845314, -0.03200206160545349, -0.02174947038292885, -0.04728606343269348, -0....
<p>I fit a couple of GLS models, using the <code>nlme</code> pakage (<code>gls()</code> function), and I would like to obtain the pseudo ANOVA table as described by <a href="http://www.ltrr.arizona.edu/~katie/kt/FLOODS-USGS/GLS-Griffis-Stedinger.pdf" rel="nofollow">Griffis &amp; Stedinger (2007)</a>. <code>nlme</code> ...
g67485
[ 0.022661518305540085, 0.03003012388944626, 0.0070322491228580475, -0.07272221893072128, -0.0057661389000713825, 0.0013355528935790062, -0.0599723756313324, -0.019122671335935593, -0.05256810039281845, 0.00835451204329729, -0.009448154829442501, 0.03115326724946499, 0.05398759990930557, 0.0...
<p>I have about 1000 data points from some thick tailed distribution that I would like to fit a parametrized distribution to. From my data, I've made some adjustments and constructed an empirical distribution (so I have percentiles).</p> <p>What is the best way to fit a mixture of parametrized distribution functions ...
g47640
[ 0.028122883290052414, -0.0396217405796051, -0.0015903139719739556, -0.0047396523877978325, -0.009994732216000557, -0.023248691111803055, -0.0021456112153828144, 0.03751480206847191, -0.08748514205217361, -0.021206652745604515, -0.012159968726336956, -0.016438176855444908, 0.07838453352451324...
<p>Explain briefly What is meant by interpolation.How is it related to the concept of regression?</p> <p>interpolation is art of reading between the lines of a table and in elementary mathematics the term usually denotes the process of computing the intermediate values of a function from a set of given or tabular valu...
g67486
[ 0.04175533354282379, -0.010042375884950161, 0.008985918015241623, -0.02896171808242798, -0.0217602476477623, -0.01404591929167509, 0.0415182001888752, 0.04525640606880188, -0.08600975573062897, -0.05963042750954628, -0.05575873702764511, 0.055850427597761154, 0.037308499217033386, -0.01104...
<p>I've really only seen EM used for mixtures where one can point out multiple modes visually - e.g, the classic mixture of gaussians example. I would like to use EM for a mixture of an empirically defined, sharply peaked distribution and something that is more uniform - does anyone have an idea as to how much confide...
g47642
[ -0.059401366859674454, -0.027136163786053658, -0.025977278128266335, -0.02902630902826786, -0.02608538791537285, -0.016288641840219498, 0.034034669399261475, 0.006444117520004511, 0.006749691907316446, 0.021092187613248825, 0.012290899641811848, -0.015665395185351372, 0.12351427972316742, ...
<p>I've been learning X12-ARIMA by looking at data from a friend's service company, and wondering how to model the capacity of the company. That is, if the company is limited by a particular resource to only be able to handle 1,000 customers a week, how do I keep my ARIMA model from happily predicting 1,200 customers n...
g67487
[ -0.02307155728340149, 0.06707804650068283, -0.013418653979897499, -0.003994188271462917, -0.026665374636650085, -0.05590435117483139, 0.05567373335361481, -0.009365713223814964, 0.008075733669102192, 0.02176607772707939, 0.05186273902654648, 0.0278877355158329, 0.06847701966762543, -0.0019...
<p>What do "marginal" and "conditional" mean in "marginal models" and "conditional models"? </p> <p>Are they related to marginal distributions and conditional distributions?</p> <p>Thanks!</p>
g67488
[ 0.05198776349425316, -0.028369115665555, -0.012235088273882866, -0.017400164157152176, 0.015268420800566673, 0.06267707794904709, -0.0084279989823699, 0.046122681349515915, -0.005337801296263933, -0.048422761261463165, -0.014294834807515144, -0.03613944724202156, 0.06764534115791321, -0.00...
<p>componentwise boosting dates back at least to <a href="ftp://stat.ethz.ch/pub/Research-Reports/Other-Manuscripts/buhlmann/boosting.rev5.pdf" rel="nofollow">Bühlman and Yu (2003)</a>, where in each boosting iteration a set of base-learners (e.g. simple linear models) depending on a subset of the covariates are used. ...
g27036
[ 0.016619637608528137, -0.035963024944067, 0.001720546861179173, -0.03465721011161804, 0.04840464890003204, 0.009099123068153858, -0.019470134750008583, 0.02615743689239025, 0.002004815498366952, 0.05737556517124176, -0.0010228152386844158, 0.02118440717458725, 0.05469508096575737, 0.057343...
<p>I recently realised an RLS Algorithm which fit a stepresponse of a system with an underdamped complex pole pair.</p> <p>Now i realised that there is a bias for some kind of responses i get. I found out that using an estimation based on weighting the frequency range where the input spectrum has the most power, gives...
g27037
[ -0.007466760464012623, -0.04477206990122795, -0.009412835352122784, -0.05347617715597153, -0.0008677037549205124, -0.032457031309604645, -0.006474270951002836, 0.030285509303212166, -0.04484328627586365, -0.028009148314595222, -0.05383065715432167, 0.01719498820602894, 0.06297759711742401, ...
<p>Suppose there is any distribution whose parameter values are known. So how to simulate data in this case?</p>
g67489
[ 0.06882451474666595, -0.014829766936600208, -0.012644674628973007, -0.05407124385237694, 0.005595863796770573, 0.008329852484166622, -0.09247095882892609, 0.032020896673202515, -0.03658711537718773, -0.018643641844391823, -0.02429867535829544, 0.0027740246150642633, 0.05883733183145523, 0....
<p>I have a dataset consisting of 1000 samples (rows). Each sample consists of 300 categorical data points (columns). The process of generating these data points has a known probability of generating an erroneous result, $pErr$.</p> <p>Let $pErr = 0.1$ for this example. As each of the 300 columns consists of 1000 cate...
g67490
[ 0.024138806387782097, -0.030123913660645485, -0.004938388708978891, 0.018678611144423485, 0.04712052643299103, -0.014291880652308464, 0.015762602910399437, 0.08593864738941193, -0.0542796328663826, 0.004623915534466505, -0.03253640979528427, 0.03092624805867672, 0.053696464747190475, 0.033...
<p>I have noticed that in some datasets that can be modeled using a power law distribution, there appears to be a kind of second tail trailing off at the lower end which appears as an almost horizontal line in log-log (for instance, see the figure below; <a href="http://physicsworld.com/cws/article/news/2005/feb/10/glo...
g23600
[ 0.049081653356552124, 0.003072739578783512, -0.04264993965625763, -0.030068716034293175, 0.05442040413618088, 0.02422676794230938, -0.011178827844560146, 0.002268468029797077, -0.09423883259296417, -0.05459463968873024, -0.000594443001318723, 0.023101622238755226, 0.06531842797994614, -0.0...
<p>I have a predictor and the ground truth. I have found that I can use linear regression for bias correction, so instead of using the predictor's estimate directly, we can use the one obtained from the LR between the ground truth and the predictor.</p> <p>I am actually finding it confusing what bias correction actua...
g29655
[ 0.08073156327009201, -0.09062217175960541, 0.007650530431419611, -0.05641688033938408, 0.03147118166089058, 0.02008902281522751, 0.02716873027384281, 0.07577600330114365, -0.05996435135602951, -0.03066871128976345, 0.016237184405326843, 0.031508348882198334, 0.015903834253549576, 0.0096366...
<p>Is there an official academic journal I could use as reference which states that a mix of I(0) and I(1) variables can be used in constructing a VECM? </p>
g34136
[ -0.006081695668399334, -0.058564748615026474, -0.003633911954239011, -0.05088840425014496, -0.000014977338651078753, -0.027410881593823433, -0.0007130462327040732, 0.015149818733334541, -0.021245505660772324, 0.007662663236260414, 0.0016067366814240813, -0.029400015249848366, 0.0136038390919...
<p>I've run a mixed effect model in R by using lme. The explanatory (Temp_Diff &amp; Distance) and responsive (LF_Diff) factors are continued variables. </p> <pre><code>VARIABLE = MEAN(STD) Temp_Diff = 0.31(0.8) Distance = 141(115) LF_Diff = -3.62(9.02) </code></pre> <p>Normally, residuals should be plotted agains...
g37991
[ -0.009327126666903496, -0.08519384264945984, -0.015192139893770218, -0.07714021950960159, -0.04349173232913017, 0.03943714499473572, 0.06733331829309464, 0.005194527097046375, -0.07058539241552353, -0.0256800577044487, 0.027751296758651733, 0.01771232672035694, 0.0164276622235775, 0.001254...
<p>I have a mean time to failure variable that is Weibull-distributed with shape parameter less than $1$. Whenever a failure occurs, corrective action of cost $c_c$ is performed. From time to time, preventive maintenance of cost $c_m$ is performed, which resets the time in the Weibull distribution.</p> <p>My question ...
g27045
[ 0.0417681522667408, -0.043856579810380936, -0.008677084930241108, 0.0012448205379769206, 0.024835782125592232, -0.04261675849556923, 0.06608054786920547, -0.018014343455433846, -0.01823807694017887, -0.005555348936468363, -0.03714897856116295, 0.0607881024479866, 0.04935009777545929, 0.039...
<p>I have the following data for web traffic in Excel</p> <ul> <li>June 88,147</li> <li>July 111,839</li> <li>August 93,148</li> <li>September 93,069</li> <li>October 101,881</li> <li>November 97,345</li> </ul> <p>I can do a chart with a trend line and a linear trend shows a slight upward trend, I would like th...
g27047
[ -0.006666173692792654, 0.02677140384912491, -0.003139626234769821, -0.037253301590681076, -0.04291604459285736, -0.018532702699303627, 0.015327276661992073, -0.013850865885615349, -0.0500575453042984, -0.034415725618600845, 0.004785088822245598, 0.04012059047818184, 0.05599229782819748, -0...
<p>I hope this is the right place where to formulate this question. In a basic course in statistics we learn how to calculate the mean life time of an electronic device. Home appliances are electronic device of course, but all that we know when we buy one is the time length of warranty.</p> <p>What is the relation of...
g67491
[ 0.034481748938560486, 0.028589297086000443, 0.011923021636903286, 0.012762332335114479, -0.0017579380655661225, -0.009214738383889198, 0.06580800563097, 0.03247104212641716, 0.0055680288933217525, -0.020838646218180656, -0.016326136887073517, 0.046491846442222595, 0.05474696680903435, 0.03...
<p>I'm trying to wrap my head around the Exponential distribution and the meaning of its parameter. The parameter is the rate, right? So take, e.g., $$X\sim \exp(0.05)\,.$$ Now the probability of failure during the first time period is: $$P(X\le1)=1-P(X&gt;1)=1-e^{-0.05}=0.04877\,.$$ Now I can do the math and get the c...
g27048
[ 0.036469459533691406, 0.005470527336001396, -0.016291236504912376, 0.003946058452129364, 0.04518157243728638, 0.010595529340207577, 0.08087535202503204, -0.042499154806137085, -0.02682487480342388, 0.017317086458206177, -0.011169045232236385, 0.023127779364585876, 0.042316827923059464, 0.0...
<p>This question is related to a few others (<a href="http://stats.stackexchange.com/questions/17229/mean-survival-time-comparison-of-continuous-and-discrete-time">Here</a>,<a href="http://stats.stackexchange.com/questions/17216/restricted-mean-residual-life-survival-analysis-discrete">Here</a>) on the topic as I have ...
g40046
[ 0.0031837590504437685, -0.07055606693029404, -0.015557768754661083, -0.015902068465948105, -0.06372027099132538, 0.0296403206884861, 0.0012808936880901456, -0.023011885583400726, -0.07791195809841156, 0.008685871958732605, -0.033202242106199265, 0.021698225289583206, 0.08165869116783142, -...
<p>I am looking for the correct way of performing post-hoc analysis on the results of a 3-sample test for equality of proportions and haven't been able to find anything specific to this test.</p> <p>The data I am analyzing looks like this:</p> <pre><code> pos.late neut.late neg.late pos.early ...
g570
[ 0.03256900608539581, -0.07053589075803757, 0.014163324609398842, -0.06464041769504547, 0.010625914670526981, 0.009692399762570858, 0.04785192385315895, 0.04218604415655136, -0.041097767651081085, 0.03219818323850632, 0.02032083086669445, 0.00448648352175951, -0.025958623737096786, 0.001017...
<p>I have two variables, <code>response</code> and <code>group</code>, and I fitted the model in which <code>group</code> is a random effect.</p> <pre><code>proc mixed data=myData nobound; class group; model response =; random group; run; </code></pre> <p>However, SAS returns a negative variance for the rand...
g67492
[ -0.01107578631490469, -0.035341717302799225, -0.014462520368397236, -0.010056866332888603, 0.015048627741634846, 0.07035130262374878, 0.016407383605837822, 0.010289698839187622, -0.01619943417608738, -0.06705054640769958, 0.06862465292215347, 0.01891125552356243, -0.005719045177102089, 0.0...
<p>I'm trying to test a program that claims to calculate some statistical properties of a numeric sequences (like mean, median, standard deviation etc). Simple and short sequences pass the test well, but I'd like to challenge the program with either long sequences, or sequences with large and small values (to test over...
g27051
[ 0.01402917131781578, -0.011537239886820316, -0.001501959515735507, -0.007746859919279814, -0.09998403489589691, -0.031093906611204147, 0.01150595024228096, -0.01805691421031952, -0.022871974855661392, -0.0440906397998333, -0.007716879714280367, 0.0025941955391317606, 0.0455833375453949, -0...
<p>I'm trying to gain a better understanding of how null hypothesis testing works. </p> <p>I have 3 questions related to the code below:</p> <ol> <li><p>Am I right in saying the probability of each t value in <code>t_distribution</code> should follow the tables of critical values for t distributions found in statisti...
g67493
[ 0.04294672608375549, -0.06662547588348389, -0.011943493969738483, -0.04963609203696251, 0.032420430332422256, 0.014696145430207253, -0.007965706288814545, 0.03638804703950882, -0.07286261022090912, -0.01450633630156517, 0.00420569721609354, -0.0192880779504776, 0.10039223730564117, -0.0026...
<p>I am looking for an useful statistical approach or analysis tool in order to understand the data obtained from an aeroelastic simulator of wind turbine dynamics.</p> <p>In this case, the simulation provides data about the forces that a structure has to resist against the wind. Imagine a large structure such as a wi...
g67494
[ 0.027889493852853775, -0.023707542568445206, -0.013002361170947552, -0.00831757765263319, -0.034350719302892685, -0.030780797824263573, 0.04663245007395744, -0.01601659320294857, -0.04704773798584938, 0.022555988281965256, 0.012711028568446636, -0.018941553309559822, 0.03373488038778305, 0...
<p>I run exactly the same analysis several times in a row. The original (not pruned tree) is the same but the results given by "plotcp" and "printcp" are different every time. So, how can I choose the best cp to prune the tree ?</p> <p>Thanks for response below !</p>
g27052
[ 0.013015651144087315, -0.03753046318888664, 0.013950000517070293, -0.0029029659926891327, 0.038148149847984314, -0.07236597687005997, 0.031148390844464302, -0.0037405656185001135, -0.04108303040266037, 0.008800356648862362, 0.01116221770644188, 0.011045117862522602, -0.018574560061097145, ...
<p>Suppose I have a table of subjects and measurements as follows</p> <pre> subject measurement s1 1 s1 2 s1 3 s1 4 s1 5 s1 6 s1 7 s1 8 s1 9 s1 10 s2 10 </pre> <p>Now it is unlikely that the true value of s2 is 10 as observed. It is much more ...
g27053
[ -0.02934183180332184, 0.00850391574203968, -0.023176070302724838, -0.044155992567539215, -0.00030784914270043373, -0.006848443299531937, 0.06811834126710892, -0.028496526181697845, -0.07500327378511429, -0.00661942595615983, -0.024845881387591362, 0.055220507085323334, 0.029055435210466385, ...
<p>What is the difference between <strong>"sampling"</strong> and <strong>"re-sampling with replacement"</strong> from a practical point of view (I mean how do I code that) ?</p> <p>When one say: <strong>"sampling $\tilde{x}_t^{(i)}$ from $p(x_t | x_{t-1}^{(i)})$"</strong>, this mean that we generate $\tilde{x}_t^{(i)...
g67495
[ 0.04076908156275749, -0.014218335039913654, -0.0018292368622496724, -0.0211294237524271, -0.021858084946870804, -0.009533177129924297, -0.04368094727396965, 0.009190263226628304, -0.03467433154582977, -0.011179844848811626, -0.049661874771118164, 0.01419441681355238, 0.056009624153375626, ...
<p>I have a data set which intuitively seems Poisson-like, but it's overdispered. So I'm investigating negative binomial.</p> <p>From <a href="http://stats.stackexchange.com/questions/6728/understanding-the-parameters-inside-the-negative-binomial-distribution">this question</a> and <a href="https://probabilityandstats...
g67496
[ 0.03518691286444664, 0.002513679675757885, -0.01960168592631817, -0.06452584266662598, 0.04405038803815842, -0.018276724964380264, -0.017298899590969086, -0.025812804698944092, -0.09060343354940414, -0.03436049073934555, 0.01766040548682213, 0.002086358144879341, 0.004033970180898905, -0.0...
<p>An RBM is defined by the joint probability distribution</p> <p>$$p({\bf x},{\bf h})=\exp(-E({\bf x},{\bf h}))/Z$$</p> <p>where </p> <p>$$E({\bf x},{\bf h})=-{\bf h}^TW{\bf x} - {\bf c}^T{\bf x} - {\bf b}^T{\bf h}$$</p> <p>and </p> <p>$$Z=\sum_{{\bf x},{\bf h}}\exp(-E({\bf x},{\bf h}))$$</p> <p>This gives a mar...
g67497
[ 0.028355363756418228, 0.019679084420204163, -0.004922120366245508, -0.021618112921714783, 0.06887523829936981, -0.04625367745757103, 0.060805533081293106, 0.03551546856760979, -0.018413716927170753, -0.02155528962612152, -0.013797868974506855, 0.0731886625289917, 0.032205622643232346, 0.01...
<p>Imagine we have two sets of data m1 and m2. m1 components have the dimension of [m^2/s] and m2 components are measured in [cm^2/s].<br> e.g. </p> <pre><code>m1={1, 2, 3, 4, 5, 6, 7, 8, 9, 10} m2={31, 32, 33, 34, 35, 36, 37, 38, 39, 40} </code></pre> <p>Assuming that B is the proportionality constant that is estim...
g47687
[ 0.05087374523282051, -0.05223516747355461, 0.007393444422632456, -0.0614718422293663, 0.004513234365731478, 0.01255575567483902, -0.006090875249356031, -0.018922505900263786, -0.0943857952952385, 0.029567373916506767, 0.004450049716979265, -0.009252364747226238, 0.004132617264986038, 0.040...
<p>How do you choose a model from among different models chosen by different methods (e.g. backwards or forwards selection)?</p> <p>Also what is a parsimonious model?</p>
g49682
[ 0.02841094508767128, -0.0057575274258852005, 0.02032512240111828, -0.013020691461861134, 0.04888230562210083, -0.04298242926597595, 0.008841115981340408, 0.022276831790804863, -0.017033590003848076, 0.0022620223462581635, -0.0430942066013813, -0.02282949723303318, 0.0780169740319252, 0.047...
<p>I was wondering how to (or if it is even possible) find the continuous joint distribution between two random variables $x$ and $y$ when you know the continuous marginal density distributions of both $x$ and $y$, and we know there is a correlation between the two random variables, i.e., ${\rm Cor}(x,y)$ = $\rho$ whic...
g67498
[ 0.08474390208721161, -0.055460721254348755, -0.01946278288960457, -0.021178115159273148, -0.04066526144742966, 0.017236314713954926, -0.022094637155532837, 0.0028211120516061783, -0.04123833402991295, -0.015934722498059273, 0.042647916823625565, -0.021871717646718025, -0.0036809875164180994,...
<p>I have a data set that I wish to analyze using functional data analysis methods. Data consists of repeated measures of some characteristic on a number of inviduals. I have the time of the measurements and these differ between individuals. So far, I see no problem in analyzing this, e.g. by using ready-to-use ${\tt R...
g23607
[ -0.0011660016607493162, -0.012726244516670704, -0.013061610981822014, -0.014498068019747734, -0.04363184794783592, -0.06918562948703766, 0.10448214411735535, -0.037237703800201416, -0.030275974422693253, 0.005059208255261183, -0.022181594744324684, 0.003803461557254195, 0.02652817778289318, ...
<p>We are currently converting student test scores in this manner : </p> <pre><code>( ScaledScore - ScaledScore Mean ) / StdDeviation ) * 15 + 100 </code></pre> <p>I was referring to this calculation as a z-score, I found some information that convinced me that I should really be referring to it as a t-score as op...
g47690
[ 0.023351287469267845, 0.012463076040148735, 0.0008694427087903023, -0.08065624535083771, 0.0063954005017876625, -0.005435560364276171, 0.047687504440546036, 0.06975505501031876, -0.02162501960992813, 0.02740238606929779, 0.012465986423194408, -0.004082594066858292, 0.05858160927891731, -0....
<p>How do you cluster a feature with an asymmetrical distance measure? </p> <p>For example, let's say you are clustering a dataset with days of the week as a feature - the distance from Monday to Friday is not the same as the distance from Friday to Monday. </p> <p>How do you incorporate this into the clustering algo...
g47692
[ 0.00040700362296774983, -0.010254171676933765, 0.0022631485480815172, -0.04183346405625343, 0.018486909568309784, -0.027510808780789375, -0.0344669446349144, 0.02762717567384243, -0.013234502635896206, -0.039858605712652206, 0.024742070585489273, 0.019508112221956253, 0.09343858808279037, ...
<p>Let's assume one has an analysis in which there are multiple correlated DVs (average correlation .46) being examined in separate univariate analyses (e.g. t-tests; insufficient df and frustration tolerance to restructure the data fro a MANOVA) in relation to a single IV. All except one of these DVs is not significa...
g67499
[ -0.01519807893782854, 0.00717963045462966, 0.002050455193966627, -0.013703380711376667, 0.03265850618481636, 0.026403503492474556, 0.06634562462568283, 0.054238855838775635, -0.00931073073297739, -0.023906299844384193, -0.023380128666758537, -0.007598187308758497, 0.007221525069326162, 0.0...
<p>This question is motivated by <a href="http://stats.stackexchange.com/q/30294/183">my question on meta-analysis</a>. But I imagine that it would also be useful in teaching contexts where you want to create a dataset that exactly mirrors an existing published dataset.</p> <p>I know how to generate random data from a...
g49788
[ -0.008391528390347958, 0.00016778844292275608, -0.01698322407901287, -0.08286678791046143, -0.08198028802871704, 0.0014597229892387986, -0.06021685525774956, -0.0024197527673095465, -0.030759822577238083, -0.05736948177218437, -0.005516097415238619, -0.00934655498713255, 0.06472229957580566,...
<p>I was wondering if anybody had some good references on dynamic neural networks. The goal is to have a neural network that responds in real-time (and is governed by say a system of DEs) instead of at discrete time-steps. The prototypical application is a robot: we have a series of sensors that are constantly feeding ...
g47695
[ 0.027758939191699028, 0.018911434337496758, 0.018281782045960426, 0.05264749750494957, 0.005900825373828411, -0.08518576622009277, 0.01253166887909174, -0.000012460842299333308, -0.03300173953175545, -0.04930538311600685, -0.027432002127170563, -0.027068914845585823, 0.08686337620019913, 0...
<p>I am analyzing the results of a pilot study which applied an intervention to encourage uptake of a financial relief program among distressed homeowners. The difference in outcome is 37% among the treatment group vs. 29% in the control group. At a sample size of n=400 (across both the treatment and control group), a ...
g67500
[ -0.015113335102796555, 0.055231306701898575, -0.007804468274116516, -0.030252572149038315, 0.03164534643292427, -0.05470121279358864, -0.009905779734253883, 0.06211012974381447, 0.029181860387325287, -0.04231185093522072, 0.03586740419268608, 0.007072643842548132, 0.00756097212433815, 0.00...
<p>I have some data that I'm playing around with; for simplicity, let's suppose the data contains information on number of posts a blogger has written vs. number of people who have subscribed to that person's blog (this is just a made-up example).</p> <p>I want to get some rough model of the relationship between # pos...
g47697
[ -0.0017360658384859562, -0.008566868491470814, -0.03238562494516373, -0.022585850208997726, -0.07479643821716309, -0.02267567813396454, 0.006365056149661541, -0.025173956528306007, -0.059157244861125946, -0.017552772536873817, 0.01379275880753994, 0.00028692284831777215, 0.04867513105273247,...
<p>I start with my OLS regression: $$ y = \beta _0 + \beta_1x_1+\beta_2 D + \varepsilon $$ where D is a dummy variable, the estimates become different from zero with a low p-value. I then preform a Ramsey RESET test and find that i have some misspesification of the equation, i thus include squared x: $$ y = \beta _0 +...
g67501
[ 0.003736562794074416, -0.009112240746617317, -0.016403593122959137, -0.021783005446195602, 0.04851304739713669, -0.055527620017528534, 0.0428905263543129, 0.020521070808172226, -0.02549467608332634, -0.016153421252965927, -0.04827956482768059, 0.10220177471637726, 0.06252976506948471, -0.0...
<p>I've been trying to implement the Boltzmann machine 4-2-4 encoder that appeared in <a href="http://onlinelibrary.wiley.com/store/10.1207/s15516709cog0901_7/asset/s15516709cog0901_7.pdf;jsessionid=E5E7C5C7C1AC1C0E5DA2FE597DB70E2A.f03t02?v=1&amp;t=hvpyew22&amp;s=b4b4a8c8bf28b6dff5cfe710709dde92a2ba180b" rel="nofollow"...
g29662
[ 0.03366032987833023, -0.04924597218632698, 0.01600443758070469, -0.03456222265958786, 0.026933269575238228, -0.023289687931537628, 0.03954135999083519, 0.051020391285419464, -0.0842345654964447, 0.017809579148888588, -0.03492049127817154, 0.07492665201425552, 0.0327482633292675, 0.02358085...
<p>As part of my research, I am having trouble calculating the 2nd L moment $\lambda_2$ and the third and fourth moment ratios $\tau_3$ and $\tau_4$ of the standard normal distribution, where L moments are defined as they are in this paper <a href="http://www.cee.mtu.edu/~vgriffis/CE%205620%20materials/CE5620%20Reading...
g27064
[ 0.01535449642688036, -0.017535461112856865, -0.027343010529875755, -0.07240273803472519, 0.015537955798208714, -0.016251428052783012, -0.029402581974864006, 0.005570607725530863, -0.06890034675598145, 0.036170974373817444, -0.03157605603337288, 0.028458941727876663, -0.01162260863929987, -...
<p>I am learning the generalized estimating equations (GEE) and the <code>geepack</code> R package. There are some questions that I am a little confused. </p> <p>In a GEE-constructed model, we have $Var(Y_{it})=\phi_{it}\cdot V(\mu_{it})$, where $\phi$ is the scale parameter. We further decompose $Var(Y)$ into $V^{1/2...
g27065
[ -0.02402884140610695, -0.05254538357257843, -0.01795634813606739, -0.060109250247478485, 0.06320435553789139, 0.02467053011059761, 0.02163475751876831, 0.010157853364944458, -0.05181550979614258, 0.014859742484986782, -0.052319400012493134, -0.010286503471434116, -0.027966398745775223, 0.0...