question stringlengths 37 38.8k | group_id stringlengths 2 6 | sentence_embeddings listlengths 768 768 |
|---|---|---|
<p>I constructed a model via multinominal logistic regression analysis. The final model contains three predictors. All predictors are significant when they are the only predictors. However, the coefficient of one of the predictors is not significant when included all three predictors are included in the model.</p>
<p>... | g58404 | [
0.00538616394624114,
-0.0010547488927841187,
0.055739421397447586,
0.011278575286269188,
0.03900722786784172,
-0.07063276320695877,
-0.05130152404308319,
0.05915932357311249,
-0.01047890167683363,
0.021967919543385506,
-0.017266519367694855,
-0.00445146718993783,
0.040139708667993546,
0.01... |
<p>the situation is as follows: Say, I am going to answer a multiple choice question based on suggestion of my two friends. One gives correct answer 60% percent of the times, the other gives correct answer 40% of the times. Is there any way I can answer a question correctly more than 60% of the time? (in a long run ave... | g58405 | [
-0.020760204643011093,
-0.02772541157901287,
0.013215716928243637,
0.03645840659737587,
0.011042467318475246,
-0.022259997203946114,
0.005557372234761715,
-0.03854454308748245,
-0.0362122617661953,
0.04702174291014671,
0.05847993493080139,
-0.01741020567715168,
0.03373292088508606,
0.06729... |
<p>Why does finding a significant difference on a given measure, say mathematical ability, between two groups (e.g., via an independent samples t-test) have to be equivalent to the two groups coming from different underlying populations - can "population" really be defined as simplistically as "the population of people... | g58406 | [
-0.017218749970197678,
0.05181865394115448,
-0.027557427063584328,
-0.04712717980146408,
-0.0028739937115460634,
0.02400149218738079,
0.003292134962975979,
0.03216356784105301,
-0.028038330376148224,
-0.0297260545194149,
0.014395928010344505,
0.009446656331419945,
0.040090691298246384,
0.0... |
<p>I am trying to figure out how to interpret the coefficients when using several qualitative independent variables of which some have more than two categories. I found this short <a href="http://www.tandfonline.com/doi/abs/10.1080/13504850110042187#preview" rel="nofollow">article</a> that touches upon that issue (the ... | g58407 | [
-0.05586743727326393,
-0.010053601115942001,
-0.02392369695007801,
-0.002901020459830761,
0.030436864122748375,
0.002208345104008913,
0.020074931904673576,
-0.013095869682729244,
-0.011373965069651604,
0.006229857448488474,
-0.03161386027932167,
0.04298969730734825,
0.017072176560759544,
0... |
<p>I am having 56 likert scaled items for IV and 28 likert scaled items for dv.
As to fulfill the assumption for EFA, outliers and linearity need to be checked.
Can anyone tells me what method/analysis is the best for identifying outliers and linearity?
For outliers, can I use Z-scores? </p> | g58408 | [
-0.009458687156438828,
-0.011821698397397995,
0.005596582777798176,
-0.04337473213672638,
0.008851141668856144,
-0.033546511083841324,
0.06569284200668335,
0.017306901514530182,
-0.0155263002961874,
0.016375858336687088,
-0.016705956310033798,
0.035341277718544006,
0.019801469519734383,
-0... |
<p>I'm trying to find the most probable path (i.e. sequence of states) on an HMM using the Viterbi algorithm. However, I don't know the transition and emission matrices, which I need to estimate from the observations (data).</p>
<p>To estimate these matrices, which algorithm should I use: the Baum-Welch algorithm or t... | g13467 | [
0.035777851939201355,
-0.036776795983314514,
0.023615481331944466,
0.05766984820365906,
-0.021487945690751076,
-0.05327468365430832,
0.011143991723656654,
0.09017832577228546,
0.030625533312559128,
-0.026972249150276184,
-0.003402287606149912,
0.01421958114951849,
0.05843234807252884,
0.02... |
<p>I'm looking for some matrix library that can do PCA and can work with large matrix that can't whole fit in memory at once.</p>
<p>is there exist such library ?</p> | g13468 | [
0.010905466973781586,
0.007261506747454405,
0.019496820867061615,
-0.07991195470094681,
-0.06253494322299957,
-0.08490684628486633,
0.02893957495689392,
-0.009060105308890343,
-0.026538684964179993,
-0.04263877496123314,
0.037598755210638046,
-0.028150495141744614,
-0.025731269270181656,
0... |
<p>The gbm package in R documents the following deviance formula for CoxPH models</p>
<p><a href="http://gradientboostedmodels.googlecode.com/git/gbm/inst/doc/gbm.pdf" rel="nofollow">http://gradientboostedmodels.googlecode.com/git/gbm/inst/doc/gbm.pdf</a></p>
<p>$-2 \sum w_i \delta_i (f(x_i) - \log(R_i / w_i)$, where... | g58409 | [
-0.032801054418087006,
-0.047271788120269775,
-0.013503160327672958,
0.00946115143597126,
0.08306358009576797,
0.009426616132259369,
0.05060197412967682,
0.025557639077305794,
-0.06569255888462067,
0.01011294312775135,
-0.05418353155255318,
0.07001093029975891,
0.03942662850022316,
-0.0039... |
<p>I have N buckets, numbered 1 to N.</p>
<p>I draw k random integers, uniformly distributed in the range 1 to N, with replacement, and for each integer I drop a ball into the corresponding bucket. k can be any size; specifically it can be any value from 2 to N, or larger than N.</p>
<ul>
<li>What are the statistical... | g42375 | [
-0.01569138839840889,
0.010359716601669788,
-0.0076037822291255,
-0.0793040543794632,
-0.023713499307632446,
-0.005500143859535456,
0.00412421440705657,
0.0051367012783885,
-0.0030245028901845217,
0.025707127526402473,
-0.07464989274740219,
0.004969487432390451,
0.02766938880085945,
0.0233... |
<p>I aim to have some anomaly detection process on my data but Weka, Rapidminer or Knime do not support anomaly detection algorithms. How would I take care of the process?</p> | g41209 | [
0.06707601994276047,
-0.06774989515542984,
-0.016210341826081276,
0.06689807027578354,
0.02033941261470318,
-0.026238614693284035,
0.02456822618842125,
0.011705979704856873,
-0.0015825158916413784,
-0.009122292511165142,
0.01464421208947897,
0.025807073339819908,
0.010729559697210789,
0.03... |
<p>Every time I look at SAS's result page I get lost among the numbers.
Is there any online material that can help with understanding SAS's result page?</p> | g13470 | [
0.012212749570608139,
0.04342439025640488,
-0.014993574470281601,
-0.03305073082447052,
0.012106688693165779,
0.0006466095801442862,
-0.028498575091362,
-0.01420507114380598,
0.0019443825585767627,
-0.05522580444812775,
0.013405472971498966,
-0.0349004864692688,
0.040849100798368454,
-0.00... |
<p>I did an experiment with 12 participants. They were asked to rate 3 stimuli, with the following 3 possible answers: "increased", "decreased", "no difference".
I have as a result this table:</p>
<pre><code> Increase Decreased No_difference
StimulusA 10 1 1
StimulusB 12 0 ... | g58410 | [
0.0014013750478625298,
-0.032172951847314835,
0.02700512669980526,
-0.04140792042016983,
0.043560370802879333,
-0.013017257675528526,
0.03471659496426582,
0.04167597368359566,
-0.039288826286792755,
-0.0048444755375385284,
0.02377251721918583,
-0.009890012443065643,
0.03438913822174072,
0.... |
<p>I got a bit confused about how to fit a local polynomial to binary outcomes if I would rather approximate the underlying index (within a link function) instead. (Basically for the same reason why someone would estimate a logit or a probit instead of a linear probability model.) Of course, I would like to plug the va... | g9077 | [
0.00013236999802757055,
-0.029440252110362053,
-0.0008841822855174541,
-0.06979484856128693,
-0.04250878095626831,
-0.025633135810494423,
0.012855231761932373,
0.049082618206739426,
-0.04796780273318291,
-0.022732537239789963,
0.002969746245071292,
0.03511529415845871,
0.006163130048662424,
... |
<p>Here is the problem from the book:</p>
<blockquote>
<p>Let $X = \min(U,V)$ and $Y = \max(U,V)$ for independent $\text{uniform}(0,1)$ variables $U$ and $V$. Find the distributions of a) $X$; b) $1-Y$; c) $Y-X$.</p>
</blockquote>
<p>I know that each has density $2(1-x)$ for $0<x<1$. What I'm hoping for is ... | g58411 | [
0.021256234496831894,
0.008522375486791134,
-0.026784587651491165,
0.00008080277621047571,
0.020493142306804657,
-0.03703657165169716,
-0.024870775640010834,
0.005153420381247997,
-0.026134071871638298,
0.007327341474592686,
-0.06176353245973587,
0.048791367560625076,
0.008918977342545986,
... |
<p>I have items for purchase and I have statistics how much each were purchased. I want to use this amount for ranking them. The simple guess is to <code>Log(2 + num_purchased)</code>. I thinking about better formula for that, and most important I want to have some probabilistic background and meaning behind it. </p> | g13473 | [
-0.01195667777210474,
0.04137956351041794,
-0.023033926263451576,
-0.015046816319227219,
-0.018697891384363174,
-0.06366737931966782,
0.06118382140994072,
-0.03838978335261345,
-0.010235190391540527,
-0.03340940922498703,
-0.023534532636404037,
0.03172796219587326,
0.08728586137294769,
0.0... |
<p>Is it the case that for random variables $Y$ and $X$, $f(Y | X)$ in the same family as $f(Y)$?</p>
<p>If so how can I prove it? If not are there any situations (some families of distributions) where they can be the same? Or is it related to the link function(s)?</p>
<p>Thanks</p> | g13474 | [
0.020107798278331757,
-0.0019637474324554205,
0.002207553945481777,
-0.043853066861629486,
0.02696853317320347,
-0.06902726739645004,
-0.014883714728057384,
-0.06488500535488129,
0.015023984014987946,
-0.060360491275787354,
-0.042479708790779114,
0.003229734255000949,
-0.029597774147987366,
... |
<p>Is cross validation an appropriate technique for variable selection and regression coefficient shrinkage? </p>
<p>A former colleague of mine used 10-fold CV to compare the regression coefficients from the 10 training models. Variables were kicked out if the coefficients changed sign. The average coefficient values ... | g58412 | [
-0.0038492304738610983,
-0.051077455282211304,
0.018869908526539803,
-0.030301222577691078,
0.011273765005171299,
-0.027573371306061745,
0.06088244542479515,
0.018226586282253265,
0.012816567905247211,
0.0149137107655406,
-0.028163380920886993,
0.01952212303876877,
0.016712237149477005,
0.... |
<p>Given a sorted set of data points, where each point represents the length of a common substring between two files, I want to systematically decide a cut off point where I can start considering them to be "short" and no longer care about them.</p>
<p>Basically my goal is to exclude the data points that represent com... | g58413 | [
0.03559068590402603,
0.03191639855504036,
-0.003950859885662794,
-0.1262628436088562,
-0.004706643056124449,
-0.006106589920818806,
0.06297523528337479,
0.03422782942652702,
-0.06160295754671097,
-0.032270677387714386,
-0.012729824520647526,
0.0271461084485054,
0.013894865289330482,
0.0012... |
<p>I have a logistic regression like this:</p>
<pre><code>Y = a1 + b1*(number positive scores) + b2*(number negative scores) + b3*Z
+ b4*Z*(number positive scores) + b5*Z*(number negative scores)
+ additional non-interaction terms
</code></pre>
<p><code>Y</code> is the probability of an outcome that t... | g58414 | [
0.0011229083174839616,
-0.003981611225754023,
-0.0015542844776064157,
0.003729624440893531,
0.02199518494307995,
-0.03729251027107239,
0.03134673833847046,
0.007085762917995453,
-0.052369311451911926,
-0.022343972697854042,
-0.04335654526948929,
0.058587826788425446,
0.01954156905412674,
0... |
<p>I have some call centre outcome data: each person is called several times, and the result of the call is recorded as one of a few discrete outcomes ("no answer", "wrong number", "third party", "correct party", etc.). The goal of the analysis is to try and work out how many times to call before giving up.</p>
<p>My... | g301 | [
-0.01059111300855875,
-0.02343948557972908,
0.0018169822869822383,
-0.02503110282123089,
-0.026097988709807396,
-0.05446367338299751,
0.04007832333445549,
0.00024325962294824421,
-0.020510181784629822,
-0.012815861031413078,
-0.04743281379342079,
-0.013029215857386589,
-0.0035737843718379736... |
<p>I am trying to classify two types of objects, which unfortunately have high-dimensional features with few samples. (230 features 12 samples from each group).</p>
<p>As a first step:
To reduce the dimension, I have tested three different approaches of PCA (each with slightly different parameters) and use the score... | g37754 | [
0.028601806610822678,
-0.02980908192694187,
0.014931113459169865,
-0.03117159754037857,
-0.006811416242271662,
0.0007520661456510425,
0.07291610538959503,
0.026367947459220886,
-0.06520084291696548,
-0.010939251631498337,
0.019783983007073402,
-0.004419407341629267,
0.04428687319159508,
0.... |
<p>Testing the null hypothesis $H_0: \theta = 0$ against the alternative $H_1: \theta \neq 0$ is equivalent to constructing a confidence interval and checking whether or not zero belongs to it.</p>
<p>But what about the alternative $H_1: \theta > 0$. What is the "equivalent confidence interval?".</p> | g42386 | [
0.03759370744228363,
0.009003528393805027,
-0.013306047767400742,
0.011215188540518284,
0.01622917316854,
0.011707508936524391,
-0.008079266175627708,
0.03902064636349678,
-0.01919647678732872,
-0.05697336047887802,
-0.0025062046479433775,
0.054538607597351074,
0.008890644647181034,
0.0220... |
<p>I have a gene expression data-set with log2-transformed expression values (no NAs) for 495 genes for 59 samples for which values of a continuous response variable (r) are also known (no NAs). I want to use leave-one-out cross validation to test if r of the test sample can be predicted from the sample's gene expressi... | g13479 | [
0.021502625197172165,
-0.040295328944921494,
-0.0006488803192041814,
-0.057946205139160156,
-0.05178210139274597,
-0.03457944840192795,
0.06788577139377594,
0.033409327268600464,
-0.03059653379023075,
0.025880245491862297,
-0.014590496197342873,
0.008218664675951004,
0.04105754941701889,
-... |
<p>As a non-statistician, I have a real world statistical/probability problem that I'm having trouble framing.
The software I rely on in inventory management interprets the 'movements' (number of times inventory is used) in a strange way. It offers the number of months, out of 24 months, that the item has been used.
F... | g13482 | [
0.022603072226047516,
0.038829173892736435,
-0.01607695035636425,
-0.0008814531611278653,
-0.02332545816898346,
-0.03644746541976929,
0.04702836647629738,
0.039537131786346436,
-0.0034658366348594427,
-0.028224723413586617,
-0.01834138296544552,
-0.0409979484975338,
0.06503207981586456,
0.... |
<p>I would like to manipulate the work done by the loess function in R. However, the main workhorse of this function is written in C. Is there some pure R implementation of the code?</p>
<p>Thanks.</p> | g58415 | [
0.04373009502887726,
-0.06784584373235703,
0.014444875530898571,
-0.11099032312631607,
-0.0006425301544368267,
-0.0922434851527214,
0.014155014418065548,
0.007511892821639776,
-0.014564470387995243,
-0.04029069095849991,
-0.04716043174266815,
0.010558098554611206,
0.04562660679221153,
0.01... |
<p>There are generally many joint distributions $P(X_1 = x_1, X_2 = x_2, ..., X_n = x_n)$ consistent with a known set marginal distributions $f_i(x_i) = P(X_i = x_i)$.</p>
<p>Of these joint distributions, is the product formed by taking the product of the marginals $\prod_i f_i(x_i)$ the one with the highest entropy?<... | g58416 | [
0.025512628257274628,
-0.01436577271670103,
-0.026790423318743706,
-0.020517928525805473,
-0.021673716604709625,
-0.018484631553292274,
-0.03949056193232536,
0.01834600791335106,
-0.02116161398589611,
0.012744295410811901,
-0.009902354329824448,
-0.016866030171513557,
-0.02690035104751587,
... |
<p>I know that the probability of a point on a 2D map follows a normal distribution dnorm(x), where x is the distance to another point. Lets call it A.</p>
<p>so x is calculated by a distance function </p>
<pre><code>A = c(2,1)
dist = function(mypoint){
sqrt((mypoint[1]-A[1])^2+(mypoint[2]-A[2])^2)
}
</code></pre>... | g13485 | [
0.007030060514807701,
-0.05588623508810997,
-0.0131063899025321,
-0.004086473025381565,
-0.015871649608016014,
0.01699470542371273,
0.0029562744311988354,
0.01061573252081871,
-0.034007761627435684,
0.0019061675993725657,
-0.01402885839343071,
0.024395622313022614,
0.07775981724262238,
-0.... |
<p>I'm working with household survey data where households report their expenditure for various products. The goal is to look into income elasticities for various products thus in essence I'm interested in households' expenditure given their incomes. </p>
<p>The problem is to find a consistent approach in determining ... | g58417 | [
-0.005091917235404253,
0.026325292885303497,
-0.015058459714055061,
-0.024046065285801888,
0.017116772010922432,
-0.016176223754882812,
0.01713501289486885,
-0.038478270173072815,
-0.014600588008761406,
0.006191070191562176,
0.018763946369290352,
-0.00807697232812643,
0.030057989060878754,
... |
<p>I have done a multiple correspondence analysis based on 10 factors: every factor is a <code>Yes</code>or <code>No</code>question. </p>
<p>The first factor give 22.3% of the total variance and the second 13.6%. I am used to Principal Component Analysis (PCA) and to having a high percentage (>70%). </p>
<p>Question1... | g58418 | [
0.025373592972755432,
-0.05273328721523285,
0.01832406222820282,
-0.022312484681606293,
-0.0011522576678544283,
-0.04664621874690056,
0.086988665163517,
0.044769249856472015,
-0.008804460056126118,
-0.0037711295299232006,
0.001079727546311915,
0.04114672914147377,
-0.009392909705638885,
0.... |
<p>How can I calculate Cronbach Alpha for two tests that I have administered to 165 people? One test contains 110 items and the other contains 67 items. The scoring is done on the hard copies and the scores of each subscale rather than individual items are entered for further calculations.
There are 11 sub-scales in t... | g13487 | [
0.021901167929172516,
-0.023777905851602554,
0.013497715815901756,
-0.030211715027689934,
0.03756425157189369,
0.03503981977701187,
0.006218466907739639,
0.001156169455498457,
-0.05294448882341385,
-0.017986824735999107,
0.006841841619461775,
-0.025453688576817513,
0.0069646332412958145,
-... |
<p>I am evaluating an experiment in which subjects had to rate quality of audio files. The design of the experiment is repeated-measures. </p>
<p>So I'm trying to figure out which factors have an impact on quality. I am using the <code>lme</code> function in order to control within subject variance. <code>amplitude</c... | g58419 | [
-0.005084063392132521,
-0.018811238929629326,
0.015035208314657211,
-0.07852475345134735,
0.033192168921232224,
-0.022363774478435516,
0.04875659942626953,
-0.005302113480865955,
-0.05746518075466156,
-0.040439728647470474,
-0.03813626617193222,
0.052335225045681,
0.0250296238809824,
0.018... |
<p>I'm looking at collecting information on whether participants playing an educational game on a particular topic will achieve lower/comparable/superior gains between pretest/post-test scores compared to participants who learn that subject matter without a game (lecture only). Thus, I intend to randomly assign partici... | g58420 | [
-0.007176559884101152,
-0.0007319111027754843,
-0.006289929151535034,
0.013744872994720936,
-0.00995241105556488,
0.04821602255105972,
0.044352684170007706,
-0.002371713751927018,
-0.0245440024882555,
0.019958261400461197,
0.029702942818403244,
0.005908396560698748,
0.01510346494615078,
-0... |
<p>Given a Bernoulli distribution with a success probability of p = 0.02. Let's say we have N=3000 samples. How can I compute a confidence intervals for the expected number of successes (e.g., with 5% significance level)?</p> | g58421 | [
-0.010946732014417648,
0.009500905871391296,
-0.007725975476205349,
0.018824230879545212,
-0.0357147678732872,
-0.010750381276011467,
0.0051518590189516544,
0.007412292528897524,
-0.02336272783577442,
-0.048075247555971146,
-0.05393025279045105,
0.04197584092617035,
0.05624086782336235,
-0... |
<p>The <code>summary.rq</code> function from the <a href="http://cran.r-project.org/web/packages/quantreg/quantreg.pdf">quantreg vignette</a> provides a multitude of choices for standard error estimates of quantile regression coefficients. What are the special scenarios where each of these becomes optimal/desirable?</p... | g39394 | [
0.0191637109965086,
-0.059373632073402405,
-0.03446558862924576,
-0.010433387942612171,
-0.015181655995547771,
-0.043039772659540176,
0.03384987637400627,
-0.017493683844804764,
-0.09254754334688187,
0.040158018469810486,
0.023499712347984314,
0.006695119198411703,
0.011378756724298,
0.055... |
<p>X, Y are two independent R.V.s uniformly distributed over the interval [0,1]</p>
<p>1)Z = Max[X,Y]. Find the C.D.F. and density</p>
<p>2)W = Min[X,Y]. Find the C.D.F and density</p>
<p>3) Verify that the joint density of (W,Z) is 2 for 0
<p>I thought I knew how to do it, but since the joint density equals 2, I d... | g58422 | [
0.0546259731054306,
-0.035859365016222,
-0.02690867707133293,
0.03564101457595825,
-0.018260464072227478,
-0.012871094048023224,
-0.019609196111559868,
-0.0006701634265482426,
-0.029884427785873413,
0.011919566430151463,
-0.025226114317774773,
-0.0010515813482925296,
-0.00734814815223217,
... |
<p>I'm coding in python for a project. I have all my data and run an "optimize.leastsq".
I want the uncertainty in cov[1,1] and cov[0,0]. Is it just the square root of these matrix elements or is there more involved? Picture attached below</p>
<p><img src="http://i.stack.imgur.com/VHSxj.png" alt="enter image descript... | g58423 | [
0.019985292106866837,
0.006705096457153559,
-0.014480466023087502,
-0.011707330122590065,
0.0546192042529583,
-0.04124435409903526,
-0.03595656901597977,
-0.012834100052714348,
-0.037264224141836166,
-0.02436067909002304,
-0.02776082418859005,
0.0309807900339365,
-0.009274983778595924,
-0.... |
<p>This is about a lottery type football. It consists of 14 games. 13 of them have 3 possible outcomes: home team wins, tie, or away team wins. The 14th game is about 1 of the 13 games in which one chooses which team scores first (or no score), and in what quarter. So it can be home team scores in 1q, 2q, 3q or 4q, and... | g58424 | [
-0.029318194836378098,
-0.012226274237036705,
0.008027322590351105,
-0.019554030150175095,
-0.011993234977126122,
-0.07839825749397278,
0.010226386599242687,
0.004832882899791002,
-0.001807161490432918,
-0.022078298032283783,
-0.027244964614510536,
-0.013095362111926079,
0.06700725108385086,... |
<p>If we assume that our data points were sampled from the surface of a sphere (with some perturbation), how can we recover the center of that sphere? </p>
<p>In my searching, I found papers on something labeled "spherical regression", but it didn't quite seem like that was doing the same thing. Maybe I just didn't ... | g58425 | [
0.026884909719228745,
-0.057729944586753845,
-0.014727774076163769,
-0.054596785455942154,
-0.02864781767129898,
-0.022918248549103737,
0.04315447807312012,
0.03000277280807495,
-0.0020494761411100626,
0.011346185579895973,
0.0063252560794353485,
0.056826069951057434,
0.04649469628930092,
... |
<p>Thanks for your time.
I want to compare accuracy of several predicting models. I am comparing their MAE. each model use same all or some predictors. Which approach is better MANOVA or repeated measure ANOVA? Why? </p> | g49529 | [
0.012273889034986496,
-0.056235816329717636,
0.013444281183183193,
0.03331480920314789,
-0.03301696479320526,
-0.009613940492272377,
0.009193395264446735,
0.03017328307032585,
-0.02166886441409588,
0.03647453710436821,
0.01334663201123476,
-0.00784944836050272,
0.0030596621800214052,
0.050... |
<p>here is an unconventional but apparently workable idea. wondering if anyone has tried something like it, esp looking for references, examples, or nearby related work. </p>
<p>am working on a mathematical induction problem with a sequence $x_i$ of strings which are "generally increasing" in size as $i$ goes to infin... | g13497 | [
0.02723955549299717,
0.00885104387998581,
0.01960982382297516,
-0.10179820656776428,
-0.06525695323944092,
-0.06421787291765213,
-0.010974851436913013,
0.04247606545686722,
-0.02931392751634121,
0.010430016554892063,
-0.0465635322034359,
0.004967662040144205,
0.06930813193321228,
0.0022920... |
<p>I have inter-arrival times of vehicles recorded by a vehicle detection algorithm. I want to find the closest distribution (e.g., Poisson or other) of this data. </p>
<p>How can I do that?</p>
<p>Here is a graph of the inter-arrival times from a <a href="http://stackoverflow.com/questions/8743601/how-to-find-the-cl... | g42405 | [
0.026014380156993866,
-0.02165929041802883,
-0.02498657815158367,
-0.07109364122152328,
0.009082017466425896,
-0.04572085291147232,
-0.013219017535448074,
-0.021542154252529144,
-0.09820058196783066,
0.0008238265290856361,
-0.015088928863406181,
-0.009950852021574974,
0.0322069488465786,
-... |
<p>What are the meanings of "stochastically dependent" and "functionally dependent"? What is the difference?
(I saw the usage of the above terms in the paper "<a href="http://onlinelibrary.wiley.com/doi/10.1111/1467-9868.00225/abstract" rel="nofollow">Maximum entropy sampling and optimal Bayesian experimental design</... | g58426 | [
0.002766570309177041,
-0.006232419051229954,
0.011655580252408981,
0.009742437861859798,
-0.01829511485993862,
-0.02264426276087761,
0.0016544463578611612,
0.0017406215192750096,
-0.05344328656792641,
0.013509295880794525,
-0.024444924667477608,
-0.015102890320122242,
0.06876876950263977,
... |
<p>I have read various (seemingly) contradicting statements whether or not AdaBoost (or other boosting techniques) are less or more prone to overfitting compared to other learning methods. </p>
<p>Are there good reasons to believe one or the other? If it depends, what does it depend on? What are the reasons that AdaBo... | g3561 | [
0.04888292774558067,
0.08668666332960129,
0.010042237117886543,
-0.029960380867123604,
-0.008593226782977581,
0.012899834662675858,
0.03908653184771538,
-0.05501744896173477,
0.03465113416314125,
-0.0046028876677155495,
0.005608903709799051,
-0.05483260005712509,
0.009707349352538586,
0.01... |
<p>I would like to know how can I write in dlm form ( dlm PAckage by Petris) a state equation like this:</p>
<p>$$a(t+1) = k(t) + F*a(t) + T(t)w(t)$$</p>
<p>where $w$ is $N(0,1)$.</p>
<p>To make it easier I can assume $k$ and $T$ constant.
My question is how can I rearrange it in the way described by "An R Package f... | g58427 | [
0.00010793727415148169,
-0.027935612946748734,
-0.012966698035597801,
-0.032526884227991104,
0.035000864416360855,
-0.07686053961515427,
-0.007901984266936779,
0.028899412602186203,
-0.05969203636050224,
-0.00022267164604272693,
0.006510137114673853,
0.04427190497517586,
0.06068301200866699,... |
<p>I have a data set of observations that show an observed effect following education. I have a baseline position (taken prior to the education) which shows the number of students showing particular knowledge and then post-education an increased number of students showing particular knowledge. How do I show that the ... | g58428 | [
-0.02061997912824154,
0.02653246931731701,
-0.0009482074528932571,
-0.058739788830280304,
0.012572485022246838,
0.047221504151821136,
0.038574714213609695,
0.008645660243928432,
0.011956259608268738,
-0.011507858522236347,
0.029864070937037468,
0.030986540019512177,
0.04983947426080704,
0.... |
<p>Suppose I have an $N\times N$ covariance matrix that describes a multivariate normal joint distribution. </p>
<p>Now take 100,000 draws of the covariance matrix. I measure the variance of values for each draw -- call this the "cross sectional dispersion". If I average the result of cross-sectional dispersion across... | g58429 | [
-0.021521802991628647,
-0.022571558132767677,
-0.007357828784734011,
-0.09746948629617691,
-0.026580145582556725,
0.0026596689131110907,
0.027750082314014435,
-0.0037168357521295547,
-0.06656669825315475,
0.01644892990589142,
0.020925477147102356,
-0.021759141236543655,
0.022815968841314316,... |
<p>I have two main effects, V1 and V2. The effects of V1 and V2 on the response variables are negative. However, for some reason I am getting positive coefficient for the interaction term V1*V2. How can I interpret this? is such situation possible?</p>
<p>thank you </p> | g13506 | [
0.013392618857324123,
-0.05632920563220978,
-0.007926019839942455,
0.005809901747852564,
0.04378057271242142,
-0.004809679929167032,
0.01963323913514614,
0.01819590851664543,
0.021159127354621887,
-0.015468810684978962,
-0.02159511111676693,
0.06356064975261688,
0.011265568435192108,
0.003... |
<p>I need to find the conditional variance of $Y_t$ given information up to time t. </p>
<p>$Y_t$ = $\mu $ + $\phi_1$$Y_{t-1}$ + $\phi_2$$Y_{t-2}$ +$\epsilon_{t+1}$</p>
<p>Need to find the conditional variance of this equation.</p>
<p>I need to find three step ahead forecast.</p>
<p>Was able to do the first, but go... | g58430 | [
0.02398787811398506,
0.00857053603976965,
-0.01079538557678461,
-0.030560074374079704,
0.004915714729577303,
-0.016397325322031975,
-0.003992825280874968,
0.031758613884449005,
-0.058988459408283234,
-0.01620074175298214,
-0.005485528148710728,
0.04706784337759018,
-0.00520953256636858,
-0... |
<p>My try ended in an awkward result. I thought it best to use the moment generating function (MGF) technique. We can derive the MGF of $W_n$ as follows:</p>
<p>$$ E \left[ e^{tZ /n^2} \right]= \left(1-\frac{2t}{n^2} \right)^{-n/2}$$ from the chi-squared MGF. But the problem is that the limit of that as $n \to \infty$... | g58431 | [
-0.03615324944257736,
-0.008362513035535812,
-0.005862417630851269,
-0.04812012240290642,
0.030880557373166084,
-0.005191659089177847,
0.056218989193439484,
-0.002845057751983404,
-0.08786217123270035,
0.027088193222880363,
-0.060988109558820724,
-0.02877073921263218,
-0.013992920517921448,
... |
<p>I want to make a ranking of music genres. I have a list of artists and top genres with a value (1 - 100) which describes how much their music is from that genre. Now I need to organise the genres so the most popular is on top.</p>
<p>Bellow I have genres from 4 artists (3 genres per each). We can see that <code>Roc... | g13510 | [
0.005245594307780266,
0.014669159427285194,
-0.03612349182367325,
-0.0619344636797905,
0.01208192203193903,
-0.04643213376402855,
0.004270602948963642,
-0.033982161432504654,
-0.016364699229598045,
0.02100648730993271,
0.007923949509859085,
0.017668573185801506,
0.09036574512720108,
-0.027... |
<p>Another newbie question here (probably piece of cake for you guys).</p>
<p>When I run a Cox Regression and one of my covariates come out as significant:</p>
<pre><code> 95,0% CI for Exp(B)
B SE Wald df Sig. Exp(B) Lower Upper
risk 2... | g58432 | [
-0.01939406991004944,
-0.012505962513387203,
0.0023137505631893873,
-0.06112419813871384,
0.04764356464147568,
-0.0051238746382296085,
0.04156206548213959,
0.06144968420267105,
-0.015228445641696453,
-0.0070949033834040165,
-0.013520101085305214,
0.030598927289247513,
0.048771873116493225,
... |
<p>I'm a statistics newbie (medical student) trying my luck with a Cox regression for a survival analysis on the outcome of a specific type of operation. And I'm trying to determine which variables to control for. And how to handle the age of the patient at operation-time (measure-start)...</p>
<p>Currently I've set t... | g42415 | [
-0.03404989466071129,
-0.04080889746546745,
0.0016187147703021765,
-0.07277750968933105,
-0.006771527696400881,
-0.013642222620546818,
0.028172627091407776,
-0.003017881652340293,
-0.014373754151165485,
0.0004087982524652034,
-0.010213254950940609,
0.024239398539066315,
0.0641586184501648,
... |
<p>Context: I am a programmer with some (half-forgotten) experience in statistics from uni courses. Recently I stumbled upon <a href="http://akinator.com">http://akinator.com</a> and spent some time trying to make it fail. And who wasn't? :)</p>
<p>I've decided to find out how it could work. After googling and reading... | g13512 | [
-0.012676659040153027,
0.006532640196382999,
-0.02256038412451744,
-0.03266943618655205,
-0.011766192503273487,
-0.055287715047597885,
0.04800321161746979,
0.008183088153600693,
-0.02530888095498085,
-0.012233582325279713,
-0.013268604874610901,
0.02315792255103588,
0.07850343734025955,
-0... |
<p>I'm not sure if this is precisely a measurement error model or not. I'm working on performing meta analysis, and the model I'm starting with is fairly basic.</p>
<p>\begin{aligned}
X_i &= \mu_i + e_i \\
Y_i &= \beta \mu_i + g_i + \delta_i
\end{aligned}</p>
<p>The random components are $e_i$, $g_i$, and $\... | g58433 | [
-0.03530215099453926,
-0.028453439474105835,
-0.007825394161045551,
-0.024839971214532852,
0.03470267355442047,
0.017052143812179565,
0.055747032165527344,
0.011694232001900673,
0.006933266296982765,
-0.02536618895828724,
-0.018088500946760178,
0.011546753346920013,
-0.005907443352043629,
... |
<p>I want to ask how I could replace categorical missing values with reference please?</p> | g58434 | [
-0.019686155021190643,
-0.011282221414148808,
-0.009483164176344872,
-0.028485020622611046,
0.04424379765987396,
0.011326288804411888,
-0.03797323629260063,
0.022965826094150543,
-0.037508510053157806,
0.025752214714884758,
-0.03874907270073891,
0.0027399584650993347,
0.05833129584789276,
... |
<p>I did a linear regression in R and got the following result:</p>
<pre><code> Estimate Std. Error t value Pr(>|t|)
(Intercept) 192116.40 6437.27 29.844 < 2e-16 ***
cdd 272.74 26.94 10.123 1.56e-09 ***
pmax(hdd - 450, 0) 61.73 22.54 2.738... | g58435 | [
0.001667099422775209,
-0.0349736325442791,
-0.007327840197831392,
-0.005154605954885483,
-0.010911840945482254,
-0.03319307044148445,
0.0828247144818306,
0.03888528048992157,
-0.03471223637461662,
-0.010790957137942314,
-0.05313409864902496,
0.0459543876349926,
0.05160187929868698,
0.00384... |
<p>I want to do a chi-squared test on data that looks like this:</p>
<pre><code>A B
0 0
1 0
0 1
1 1
8 0
3 4
...
</code></pre>
<p>You can think of each pair as one trial with two participants. In each trial, there are a different number of observations for each participant.</p>
<p>I have binned each data pair like s... | g58436 | [
0.006190734449774027,
0.042052578181028366,
0.0017804410308599472,
-0.024674948304891586,
0.06719116121530533,
-0.055031221359968185,
-0.008261081762611866,
0.08742193132638931,
-0.027179814875125885,
-0.031017035245895386,
0.007817053236067295,
0.026218900457024574,
0.02009628713130951,
-... |
<p>I'm trying to write a function to graphically display predicted vs. actual relationships in a linear regression. What I have so far works well for linear models, but I'd like to extend it in a few ways.</p>
<ol>
<li>Handle glm models</li>
<li>Deal with NAs in the predicted values</li>
</ol>
<p>Does what I have so... | g58437 | [
0.027328677475452423,
-0.03611259162425995,
-0.005805585067719221,
-0.11684858053922653,
-0.018690699711441994,
-0.07746782898902893,
0.02399030514061451,
-0.018727552145719528,
-0.031701698899269104,
-0.06984540820121765,
0.06638705730438232,
0.021935006603598595,
0.08921808004379272,
0.0... |
<p>Suppose I have a function <code>f</code>, and I want to sample it at 100 points in the interval <code>[0, 100]</code>. For some reason (that seemed smart to me at the time), I decided to not sample at equidistant intervals, but rather use the following function to determine the sample points:</p>
<pre><code>log2(x)... | g58438 | [
-0.00039133065729402006,
-0.003314449917525053,
-0.015249993652105331,
-0.05155554413795471,
0.021067587658762932,
-0.032790232449769974,
0.013294228352606297,
0.031628720462322235,
-0.09169205278158188,
0.004349730908870697,
-0.0625799223780632,
0.015255148522555828,
0.04316678270697594,
... |
<p>Let's say I'm predicting the likelihood that someone will buy a widget, using their age, eye color, and gender as input attributes.</p>
<p>I split my data into a training set and a test set, and train up my predictive model using the (large) training set.</p>
<p>Let's say that 15% of people in the test set with bl... | g58439 | [
-0.057837702333927155,
0.018450340256094933,
0.028547214344143867,
-0.009740804322063923,
-0.012929546646773815,
0.010168124921619892,
0.05464887246489525,
0.06951916962862015,
0.009338411502540112,
0.01380039844661951,
0.016018660739064217,
0.0043846056796610355,
0.04163442924618721,
-0.0... |
<p>According to <a href="http://en.wikipedia.org/wiki/Cluster_analysis#Partitional_clustering" rel="nofollow">wiki</a> the most widely used convergence criterion is "assigment hasn't changed". I was wondering whether cycling can occur if we use such convergence criterion? I'd be pleased if anyone pointed a reference to... | g13522 | [
0.0010104887187480927,
0.03354842960834503,
0.00397740863263607,
0.005244194995611906,
0.015430797822773457,
-0.07180081307888031,
0.035418711602687836,
0.04489583522081375,
-0.04947061836719513,
0.021687110885977745,
-0.04516158625483513,
0.03195544704794884,
0.06619240343570709,
0.001582... |
<p>I find R can take a long time to generate plots when millions of points are present - unsurprising given that points are plotted individually.</p>
<p>Many of the points overlap and form a black mass and a lot of time is spent plotting more points into that mass.</p>
<p>Are there any plotting functions that trade o... | g58440 | [
0.026353057473897934,
0.03329179063439369,
0.010425738990306854,
-0.04100501909852028,
-0.023264413699507713,
-0.039061158895492554,
0.060206469148397446,
-0.046243444085121155,
-0.06188704073429108,
0.017225543037056923,
0.022249341011047363,
-0.036419827491045,
0.052177514880895615,
0.01... |
<p>Given a Gaussian distribution $N(\mu_1,\sigma_1^2)$, i would like to choose another mean $\mu_2$ which is $2\sigma_1$ away from $\mu_1$.
In this case our new mean $\mu_2=\mu_1\pm 2\sigma_1$.</p>
<p>How do we calculate the new mean($\mu_2$) in multivariate case? </p>
<p>I mean to say, when your multivariate Gaussi... | g371 | [
-0.0185957420617342,
-0.08049087226390839,
-0.024559635668992996,
-0.031050002202391624,
-0.00005363264790503308,
-0.03048209473490715,
-0.01765974424779415,
-0.04099830985069275,
-0.027884041890501976,
0.010664284229278564,
-0.03472447767853737,
0.053863026201725006,
0.022907279431819916,
... |
<p>Say I did a survey of 100 people asking if they eat vegetables daily. Out of my sample population, 60 say they do, 40 say they don't. Now, I also have the breakdown of males and females. Say in the 60 who eat veggies daily, 45 are females and 15 are males. In the 40 who don't eat veggies daily, 15 are females and 25... | g58441 | [
0.008720805868506432,
0.017370540648698807,
0.023239407688379288,
-0.010789811611175537,
-0.0012404618319123983,
-0.06812017410993576,
0.011747192591428757,
0.015445155091583729,
-0.018138840794563293,
0.0024531276430934668,
-0.02532404102385044,
0.006619608495384455,
-0.015056988224387169,
... |
<p>I am interested in the calculation of odds for stocks.</p>
<p>For example, sports odds are like so:</p>
<pre><code>Turkey vs Ukraine
hwin, draw, awin
2.20 3.40 3.20
</code></pre>
<p>2.20 for a Turkey Win, 3.40 for a Draw and 3.20 for a Ukraine Win.</p>
<p>I am interested in the calculation of odds in such a fo... | g58442 | [
0.026100287213921547,
0.03395862504839897,
-0.007845224812626839,
-0.024450454860925674,
0.026130879297852516,
-0.008963498286902905,
0.006485384423285723,
-0.01805661991238594,
-0.03465990349650383,
-0.03803413733839989,
-0.005808509420603514,
0.03972771018743515,
0.06205754727125168,
-0.... |
<p>I have a dataset of NFL games. Each game has one row for each team in the game. Each team's row contains the team's statistics in that game (such as points scored, passing yards, red zone attempts, etc.), the team's statistics over the team's previous four games, and the team's opponent's statistics over their pre... | g58443 | [
0.014302822761237621,
-0.05039803683757782,
-0.008610688149929047,
-0.05244673043489456,
0.06356612592935562,
-0.035041093826293945,
-0.003003249177709222,
-0.006451955530792475,
-0.07876481860876083,
-0.05734454095363617,
0.029198843985795975,
0.035540930926799774,
0.04277515783905983,
-0... |
<p>Lets say that I have a time series data $Y_{t}$. I'm trying to forecast using am moving average MA(1) model using Box Jenkins methodology. The following is the equation for an MA(1) obtained from a textbook.</p>
<p>$$
Y_{t} = \theta_{0} + e_{t} + \theta_{1} e_{t-1}
$$</p>
<p>I assume we would use some type of nonl... | g58444 | [
0.021628204733133316,
-0.031508270651102066,
0.02155054360628128,
-0.0019961949437856674,
0.03926398977637291,
-0.06065249443054199,
0.02565581165254116,
0.04071655496954918,
-0.08085405826568604,
0.04908396303653717,
-0.04708442464470863,
0.03635641932487488,
0.09983274340629578,
0.049698... |
<p>Okay, I have created a Random Forest, I get a very good prediction of response. What's next? How can I improve it further?</p>
<p>I ask this because I often see competitions in Kaggle, where RF is used as a benchmark, and many people manage to obtain scores much higher than that of the RF based solution. In some ca... | g58445 | [
-0.013550935313105583,
-0.020266447216272354,
0.015462375245988369,
-0.011685033328831196,
0.019673332571983337,
-0.05097760260105133,
0.009228825569152832,
0.04239274561405182,
-0.01569674350321293,
-0.026242826133966446,
0.04194672033190727,
-0.02215479500591755,
0.043290480971336365,
0.... |
<p>Standard Deviation is inversely proportional to $\sqrt(Sampling\_Rate)$ (MLE Consistency). Can user satisfaction with the reduction of error by increasing the sampling rate be modeled somehow other than the obvious way of performing a user study? Is there any literature that discusses similar ideas?</p> | g58446 | [
-0.0031319435220211744,
0.013557598926126957,
0.005450604949146509,
0.010117433033883572,
-0.010615456849336624,
0.02469768561422825,
-0.016772234812378883,
0.015542160719633102,
-0.00952252745628357,
0.012079188600182533,
0.06120503693819046,
-0.006107697729021311,
0.07668422162532806,
-0... |
<p>Suppose that I have a regression model</p>
<p>\begin{align}
Y = X\beta_X + Z_1 \beta_{Z_1} + Z_2 \beta_{Z_2} + \varepsilon
\end{align}</p>
<p>where $X$ are some controls, and $Z_1$ and $Z_2$ are two sets of dummy ($\{0,1\}$-valued) variables. I assume that $Z_2$ does not depend upon $Z_1$, but $Z_1$ might depend u... | g58447 | [
0.0038729561492800713,
-0.05190137028694153,
-0.03344250097870827,
-0.0003214954340364784,
0.03459646925330162,
-0.0631379634141922,
0.01611393690109253,
0.025531301274895668,
-0.0432264469563961,
-0.009823151864111423,
0.01772349327802658,
0.0544397234916687,
0.0007082470692694187,
-0.003... |
<p>I'm trying to understand the results of a pooled regression model coming from this paper <a href="http://repository.cmu.edu/cgi/viewcontent.cgi?article=1010&context=sds" rel="nofollow">http://repository.cmu.edu/cgi/viewcontent.cgi?article=1010&context=sds</a></p>
<p>It's a behavioral economics experiment ma... | g21377 | [
-0.009852472692728043,
0.015476413071155548,
-0.03611637279391289,
-0.05717535689473152,
0.06649336963891983,
0.014091338962316513,
0.06849022209644318,
0.01150135975331068,
-0.005096113309264183,
0.020568476989865303,
-0.015348860993981361,
0.05020035803318024,
0.018607551231980324,
0.001... |
<p>I have once meet the following question, given a training set, is that possible to do the automatic labelling? In addition, if this training set consists of plain text files, is that possible to know what is the best description of positive class, and what is the best description of negative class?</p>
<p>My feelin... | g1646 | [
-0.02316720224916935,
0.001290314830839634,
0.02899552509188652,
-0.05085430666804314,
-0.02823825180530548,
-0.02207201160490513,
-0.04111545532941818,
0.026502937078475952,
-0.07014239579439163,
-0.027799353003501892,
0.037837833166122437,
-0.032664600759744644,
0.0391857735812664,
0.005... |
<p>The question is simply what is stated in the title: <strong>When does the law of large numbers fail?</strong> What I mean is, in what cases will the frequency of an event not tend to the theoretical probability?</p> | g58448 | [
0.024551017209887505,
0.0645323395729065,
0.017069708555936813,
0.02422819472849369,
-0.02843453548848629,
0.03027733601629734,
0.019765816628932953,
0.009243244305253029,
-0.011177650652825832,
-0.07911965996026993,
-0.030483875423669815,
-0.046251699328422546,
0.023006511852145195,
0.007... |
<p>I have a couple of measurements for an environmental variable on different locations (7 measurement stations) as time series with averages for every year. </p>
<p>For the single locations I have calculated the deviations of single years from the long term average.
The annual deviations are not normally distributed ... | g13534 | [
-0.02094261534512043,
-0.04503785818815231,
-0.013003373518586159,
0.012304278090596199,
-0.0651744157075882,
0.014919805340468884,
0.042059775441884995,
0.06282726675271988,
-0.023320356383919716,
-0.019117120653390884,
0.027240926399827003,
0.04261133447289467,
0.03387036547064781,
-0.02... |
<p>We have created a questionnaire. In this questionnaire there are different dimensions with different answering scales. </p>
<p>Because of our rightly skewed data we log transformed our data. But here is the thing: </p>
<p>Because of the different answering scales (some are Likert 5, some Likert 7, and even a dicho... | g58449 | [
-0.0221368670463562,
-0.019840341061353683,
-0.005422867368906736,
-0.07125432044267654,
-0.01238773763179779,
-0.015897518023848534,
-0.005323020275682211,
0.0057982937432825565,
-0.021950744092464447,
-0.036952726542949677,
0.013611315749585629,
0.028995897620916367,
0.06206023320555687,
... |
<p>Two letters are drawn randomly from the word SENSATION with replacement.</p>
<p>What is the probability that the letters will be identical?</p>
<p>Answer attempt:</p>
<p>there are 9 possible letters to be drawn</p>
<p>the letter S and N occur twice, making the probability of each S: 2/9, N:2/9</p>
<p>Now I'm gu... | g42464 | [
0.02552364207804203,
0.0005349057610146701,
0.01545428205281496,
-0.07926749438047409,
0.014909309335052967,
-0.004801623988896608,
0.025103244930505753,
0.00934823602437973,
0.026054121553897858,
0.008587906137108803,
-0.03880508244037628,
0.021589111536741257,
-0.005098145920783281,
-0.0... |
<blockquote>
<p><strong>Possible Duplicate:</strong><br>
<a href="http://stats.stackexchange.com/questions/29962/method-to-estimate-the-prediction-interval-for-glm-and-negative-binomial-distrib">Method to estimate the prediction interval for GLM and Negative Binomial distribution</a> </p>
</blockquote>
<p>I am ... | g49839 | [
-0.022133033722639084,
-0.00650849100202322,
0.004492252133786678,
0.03615192696452141,
-0.05871933326125145,
-0.0019856977742165327,
0.021795783191919327,
-0.030886739492416382,
-0.0345599502325058,
-0.0009302005637437105,
-0.008269763551652431,
0.04013414308428764,
0.04958551377058029,
-... |
<p>I am quite beginner in R and I want to do a task that I think is manageable but I am still figuring out how. I have a contingency table like this:</p>
<pre><code>contingency.table=
feature1.A feature1.B feature1.C feature2.A feature2.B ..
group1 12 13 2 4 ... | g29203 | [
0.028020359575748444,
0.0008642065804451704,
-0.008989104069769382,
-0.02392258308827877,
0.02073082886636257,
-0.04035259410738945,
0.015068876557052135,
0.01822715811431408,
-0.07053661346435547,
-0.004447311628609896,
-0.0033946309704333544,
0.11215654760599136,
-0.017300985753536224,
0... |
<p>my question particularly applies to network reconstruction</p> | g58450 | [
0.012301421724259853,
-0.0051912711933255196,
0.00303053529933095,
-0.03947784751653671,
-0.02601921185851097,
-0.0025118612684309483,
-0.020165137946605682,
0.08387017995119095,
0.0050181131809949875,
-0.03402871638536453,
-0.026612095534801483,
-0.0396251417696476,
0.029055155813694,
-0.... |
<p>I am looking for a good book/tutorial to learn the survival analysis. I am also interested in references on doing survival analysis in R</p> | g49350 | [
-0.008338275365531445,
-0.07359547168016434,
0.010239267721772194,
0.029157597571611404,
-0.03800284117460251,
0.0024115201085805893,
0.03027273900806904,
0.02164521999657154,
-0.019533051177859306,
0.02215821109712124,
0.005899874959141016,
-0.01179299596697092,
0.05463511869311333,
-0.00... |
<p>What is the equivalent command in R for the <code>stcox</code> command in Stata? </p> | g13541 | [
0.030661599710583687,
-0.02871713787317276,
-0.016975626349449158,
-0.03581148758530617,
0.007423268631100655,
-0.028069190680980682,
0.023315338417887688,
-0.01713506318628788,
-0.006088609807193279,
-0.02964666299521923,
-0.036306001245975494,
0.04286833107471466,
0.007251759059727192,
0... |
<p>I have a dataset where the difficulty level of my items and skill of my participants is unknown, but I would like to be able to extract some metric of how individual participants do on the test. What comes to mind initially is to use an item response theory model. However, I have two a priori constraints that makes... | g58451 | [
-0.04097453132271767,
0.004393229726701975,
-0.005437477026134729,
-0.04837353155016899,
0.025717267766594887,
0.0015802779234945774,
0.04064848646521568,
0.02460937388241291,
-0.039010513573884964,
0.026446228846907616,
-0.0208700280636549,
-0.012911670841276646,
0.024487050250172615,
-0.... |
<p>I asked this <a href="http://stackoverflow.com/questions/4403433/calculate-newy-west-standard-errors-without-an-an-lm-object-in-r">question</a> yesterday on StackOverflow, and got an answer, but we agreed that it seems a bit hackish and there may be a better way to look at it.</p>
<p>The question: I would like calc... | g58452 | [
0.0068380581215023994,
-0.05151249095797539,
-0.00820218212902546,
-0.03411516174674034,
-0.03377193585038185,
-0.025295531377196312,
-0.022755900397896767,
0.004889806732535362,
-0.07582749426364899,
-0.0011692632688209414,
0.01523550320416689,
0.057146698236465454,
0.04113925248384476,
0... |
<blockquote>
<p>Diagonal elements of Psi (...)
represent independent noise variances
for each of the variables </p>
<p>C.M. Bishop, <em>Pattern Recognition and Machine Learning</em></p>
</blockquote>
<p>...but I'm not clear on what does the Psi signify.
I've applied FA to a series of images, received Psi ... | g58453 | [
-0.008453598245978355,
0.021409783512353897,
-0.01604987494647503,
-0.08101938664913177,
0.052068114280700684,
-0.018206706270575523,
0.03821829706430435,
0.03559054806828499,
-0.029036831110715866,
-0.04557730630040169,
-0.001522908452898264,
0.043637245893478394,
0.038257017731666565,
-0... |
<p>I'm trying to improve a factory quality control.</p>
<p>I have some variables from the melting process (something like ten control variables) that changes trough time (a matrix of the values of those control per minute), and in the end I have a quality score for the final product (one single variable). I have one o... | g58454 | [
0.012664498761296272,
-0.011749548837542534,
-0.0031361582223325968,
-0.04847998544573784,
0.01888144761323929,
-0.1043483093380928,
0.008142702281475067,
0.020439118146896362,
-0.0302788857370615,
-0.048364728689193726,
-0.0038518812507390976,
0.040649157017469406,
0.009728505276143551,
0... |
<p>I am having trouble figuring out what the regression equations for HLM models are with absolute effect size and relative effect size provided in a table.</p>
<p>E.g., the outcome variable is reading test score. The predictors in level one are:</p>
<ul>
<li>student gender (absolute effect: -0.05; relative effect: -... | g58455 | [
-0.01609130948781967,
-0.03123009204864502,
0.0036280222702771425,
-0.013008568435907364,
0.0018012061482295394,
-0.01871393248438835,
0.052008699625730515,
0.04401388019323349,
-0.03927372395992279,
0.0009640922653488815,
0.020805608481168747,
0.006053784396499395,
0.07836269587278366,
0.... |
<p>I have a response variable, <code>y.hat</code>, that is an estimate of animal abundance. I know the standard error of <code>y.hat</code>. I'm skeptical of a recommendation to use the uncertainty in <code>y.hat</code> as a weight when I regress or calibrate <code>y.hat</code> to another variable. There are a few p... | g58456 | [
0.04503936320543289,
-0.02947450801730156,
-0.017377551645040512,
-0.01575632393360138,
0.026873290538787842,
-0.002381306141614914,
-0.010789589025080204,
-0.04059601202607155,
-0.034367986023426056,
-0.007904374971985817,
0.03491750359535217,
0.06343593448400497,
0.041014663875103,
0.007... |
<p>I have hundreds of samples of papilloma which are caused by human papilloma virus 6 or 11. There are many ways to determine which HPV is in a specimen. Is it 6 or 11 or a combination of both? We chose to sequence a portion of the HPV genome from each specimen. Then we did a FASTA alignment of each sequence against t... | g58457 | [
-0.0032597908284515142,
-0.0686669647693634,
-0.013696528039872646,
-0.0017834817990660667,
-0.03977350518107414,
-0.048651743680238724,
0.03298519551753998,
0.038892779499292374,
0.03910694643855095,
-0.00962767656892538,
0.033175837248563766,
0.010066456161439419,
0.08366350084543228,
0.... |
<p>Here's the scenario, slightly altered to a common one.</p>
<p>Credit card fraud, payments for the last 12 months (a rolling window). Train with the data from the first 10 months, validate with data from the 11th and test with the data from the 12th month.</p>
<p>My rationale for this is that when used for real, we... | g58458 | [
0.07940804213285446,
0.012079000473022461,
0.005167410243302584,
0.03490138053894043,
0.01848446950316429,
-0.03667423501610756,
0.04336995631456375,
0.03160029277205467,
-0.00464823842048645,
0.004844798240810633,
0.029734278097748756,
0.010206939652562141,
0.07661867886781693,
0.03165758... |
<p>I am trying to study the public opinion concept linked to quantitative measurement of opinion distributions and i am trying to define major parameters and methods that can help me starting from a certain finite number of people replying to a survey to generalize the results of that survey to say that this result can... | g42486 | [
0.0045989882200956345,
0.03853432461619377,
-0.005831670481711626,
-0.05718674138188362,
0.02482139877974987,
0.035628944635391235,
-0.027635537087917328,
0.00822519976645708,
-0.004797007888555527,
-0.01723579689860344,
0.015509739518165588,
-0.013898048549890518,
0.009961806237697601,
0.... |
<p>I have a good random generator (Lecuyer et al. from <a href="http://www.iro.umontreal.ca/~simardr/ssj/doc/html/index.html" rel="nofollow">http://www.iro.umontreal.ca/~simardr/ssj/doc/html/index.html</a>) which help me to get a number with lognormal distribution into a random stream of double (a Well1024 random gene... | g58459 | [
-0.046174559742212296,
0.007151460740715265,
0.025336677208542824,
-0.03323201462626457,
-0.06170288100838661,
-0.027599921450018883,
0.04038725420832634,
0.06525570154190063,
-0.06652634590864182,
-0.017238840460777283,
-0.03927389159798622,
0.017839480191469193,
0.017320331186056137,
-0.... |
<p>I have a dataset of 380 samples of 6 variables. These variables are counts of different types of events in each of the 380 defined regions. These counts are per month, which means that I have several of these datasets (for now, I only have four months).</p>
<p>When looking at the data, I can clearly see that there ... | g13548 | [
0.0662207081913948,
-0.08343241363763809,
-0.01515189278870821,
-0.0317867137491703,
-0.03393577039241791,
-0.05352022498846054,
0.019312972202897072,
-0.010852365754544735,
-0.003837323747575283,
-0.03866028040647507,
-0.0022816986311227083,
0.012834285385906696,
0.05170334503054619,
0.01... |
<p>I want to determine the amount of food stamp fraud a retailer perpetrated based on food stamp sales in other stores. The retailer had both legitimate food stamps sales, and illegitimate sales. The illegitimate sales consisted of food stamps used to buy ineligible items or whee food stamps were illegally redeemed for... | g58460 | [
0.011482447385787964,
0.03117292933166027,
0.009815230034291744,
-0.033279359340667725,
-0.028251882642507553,
-0.07503911107778549,
-0.009926317259669304,
0.02597709931433201,
0.05011739209294319,
-0.019823670387268066,
0.010842056944966316,
0.038931626826524734,
0.017954541370272636,
0.0... |
<p>Referring to this answer <a href="http://stackoverflow.com/questions/3509164/difference-between-artificial-neural-network-and-bayesian-network">Difference between Bayesian network and neural network</a> and <a href="http://stats.stackexchange.com/questions/4498/whats-the-relation-between-hierarchical-models-neural-n... | g58461 | [
0.025913162156939507,
0.016821477562189102,
0.009020990692079067,
0.0632219985127449,
0.043658122420310974,
-0.024940453469753265,
0.017709633335471153,
0.04075784981250763,
-0.045531321316957474,
-0.0703655332326889,
0.03384308144450188,
0.007846184074878693,
0.033731698989868164,
0.05011... |
<p>I want to estimate the log likelihood of the joint distribution of 2 random variables, each follows a mixture of 2 Gaussian distribution. Is there any solution for it?</p> | g58462 | [
-0.0014490598114207387,
-0.030988547950983047,
0.013207166455686092,
-0.027441075071692467,
-0.08071121573448181,
0.0274156853556633,
0.007431944366544485,
0.017162682488560677,
-0.022612936794757843,
-0.031816527247428894,
0.003965599462389946,
0.01425194926559925,
0.0009593719150871038,
... |
<p>I am trying to set up a zero-inflated poisson model in R and JAGS. I am new to JAGS and I need some guidance on how to do that. </p>
<p>I've been trying with the following where y[i] is the observed variable </p>
<pre><code>model {
for (i in 1:I) {
y.null[i] <- 0
y.pois[i] ~ dpois(mu[i])
pro[i] <... | g58463 | [
-0.005467349663376808,
0.008240846917033195,
-0.014295890927314758,
-0.09166122227907181,
-0.026458118110895157,
-0.029269728809595108,
0.006131971720606089,
0.029814114794135094,
-0.05979737266898155,
-0.030019603669643402,
-0.019351407885551453,
0.025239529088139534,
0.014912247657775879,
... |
<p>Given we have a binary dependent variable and 100s of features and ~50k observations, is there a generally accepted way to trim the features via some type of machine learning concept? I was trying a Lasso regression to zero out features, but it just showed nothing was significant. I can go through multiple by hand t... | g58464 | [
-0.01023582648485899,
0.0032795036677271128,
0.019052667543292046,
-0.07352574914693832,
0.013997610658407211,
-0.04299012944102287,
0.03851868957281113,
0.03105275146663189,
-0.02866382710635662,
-0.0386408194899559,
0.02752782218158245,
0.04568224400281906,
0.133763387799263,
0.024804940... |
<p>I want to perform a single-tail test on a single sample of real numbers (N~100) against an expected value. The population is known to be not normally distributed. So from what I've read about stats, I can do my testing using (i) Wilcoxon test, or (ii) bootstrap my sample data and then do a regular t-test. Is that co... | g13557 | [
0.03057931363582611,
0.007094778120517731,
0.000490496342536062,
0.008952612057328224,
0.02590583823621273,
-0.03396327421069145,
0.06908616423606873,
0.03290766105055809,
-0.06473404914140701,
-0.035592518746852875,
0.009746819734573364,
-0.012574121356010437,
0.039816342294216156,
0.0364... |
<p>So in case of dynamic reality, there is a chance that parameters of a statistical/stochastic model that tries to model some sets of reality change throughout time. Is there any tool in statistics that allows to see how or whether these parameters change(d)?</p> | g58465 | [
-0.03175247460603714,
0.006268682889640331,
0.01198512315750122,
-0.01201719418168068,
-0.02559397555887699,
-0.011554514989256859,
0.0061635952442884445,
0.008953304961323738,
-0.046114418655633926,
0.018704760819673538,
0.034929972141981125,
-0.006205722223967314,
0.0698990523815155,
0.0... |
<p>I have three sets and I know their size and their intersection size, say :</p>
<pre><code> A size = 1000
A intersect B size = 200
B size = 3000
B intersect C = 120
C size = 5000
A intersect C = 0
</code></pre>
<p>Is that possible to visualize these sets with an Excel bubble chart precisely?<br>
Is ther... | g58466 | [
-0.036678340286016464,
0.04996739327907562,
0.005389952566474676,
-0.015751434490084648,
-0.06416318565607071,
-0.02375311218202114,
0.009161606431007385,
-0.014830140396952629,
-0.03363329544663429,
-0.024306826293468475,
0.015948930755257607,
0.03508332371711731,
0.030446987599134445,
-0... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.