question stringlengths 37 38.8k | group_id stringlengths 2 6 | sentence_embeddings listlengths 768 768 |
|---|---|---|
<p>I have a multilabel MRF MAP inference problem (a labeling problem). The graph has relatively few nodes, about a thousand or so. The pairwise term is (very) not submodular (it does not satisfy the triangle inequality). GraphCut with truncation does not work as about 40% of the entries are not submodular. What is the ... | g37452 | [
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<p>What are good strategies for performing Gaussian process regression when the function I am trying to approximate changes over time? The naive approach that springs to my mind is to only use the N most recent data points to perform the regression. What are better strategies?</p> | g64468 | [
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<p>I'm using a multi-layered neural network for feature extraction (similar to deep belief network).</p>
<p>I test the performance of my model with cross-validation.</p>
<p>When I'm using back-propagation to train my network, I get a very large variance in the performance.</p>
<p>Seems like it is really crucial whic... | g64469 | [
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<p>How are PCA, LDA, CCA, and PLS related? They all seem "spectral" and linear algebraic and very well understood (say 50+ years of theory built around them). They are used for very different things PCA: dimensionality reduction, LDA for classification, PLS for regression but still they feel very closely related.</p> | g42157 | [
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<p>Typically analysis of learning algorithms is in the worst-case setting, for example regret bounds in online learning, or generalisation error bounds in classification. Whilst worst case performance is clearly an important question, it seems that average case analysis would be much more indicative of an algorithm's r... | g22598 | [
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<p>I recently read this <a href="http://www.yorku.ca/gisweb/eats4400/boost.pdf" rel="nofollow">simple introduction to Adaboost</a> as a review after learning about it a few years ago. This is in preparation for actually using it to solve a problem I am working on which is slightly different than anything addressed in ... | g839 | [
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<p>I have time series data for 30 people. The data is knee joint angle versus percent of gait cycle, with data at every 1% of the cycle. I can easily find the mean joint angle at every 1% of the gait cycle. I would like to use bootstrapping to find the 90% confidence bands over the entire gait cycle. I have read in ... | g64470 | [
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<p>I don't understand why a random effects model can give you a very low <code>rho</code> (intraclass correlation coefficient), if the between variance (between subjects) in your dataset is very high on all independent variables compared to the within variance (over time). Maybe my interpretation of <code>rho</code> is... | g22601 | [
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<p>Disclosure: <em>This is a homework question.</em></p>
<p>I have fit a multiple linear regression model in eviews, and I am asked to calculate "estimated unbiased variance of the error term, i.e., $\hat\sigma^2$".</p>
<p>What confused me was "estimated unbiased" part.</p>
<p>I have done a Google search for exact t... | g64471 | [
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<p>Say I have data that I'd like to cluster that has different dimensions that are of different data types. For example:</p>
<ol>
<li>ordinal: You mood today: Very happy, happy, neutral, sad, very sad</li>
<li>Ratio: Age: ...</li>
<li>Interval: Weight: 100-120, 121-180, 181-200, 201-600</li>
</ol>
<p>Is there an acce... | g64472 | [
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<p>I don't even know if this question makes sense, but what is the difference between multiple regression and partial correlation (apart from the obvious differences between correlation and regression, which is not what I am aiming at)?</p>
<p>I want to figure out the following:<br>
I have two independent variables ($... | g64473 | [
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<p>I want to use both anova and linear models to test the assumption that my some of my categories have different means than the rest.</p>
<p>I am using stats::aov for anova and nlme::lme for linear modelling. The full code is available in <a href="http://nbviewer.ipython.org/urls/gist.github.com/TheChymera/7516431/ra... | g64474 | [
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<p>I want to do survival analysis with the Colon Cancer data in survival package:</p>
<pre><code>library(survival)
Colon<-subset(colon,etype==2 & rx!='Obs')
fit<-survreg(Surv(time,status)~rx+age+sex,data=Colon, dist="weibull")
Now how can I predict conditional expected lifetime given time, rx, age and sex?
<... | g64475 | [
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<p>In what circumstances can Fixed effects models produce BLUE/shrinkage estimates? I am referring to models discussed in Tekwe et al.(2004)...Journal of Educational and Behavioral statistics. I would appreciate any help on this. Thanks!</p> | g64476 | [
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<p>I'm looking for specific, real cases in which a causal relationship was inappropriately inferred from evidence of a correlation. </p>
<p>Specifically, I'm interested in examples that meet the following criteria:</p>
<ul>
<li>Existence of the causal relationship was accepted as fact widely enough to have <strong>no... | g683 | [
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<p>I wonder whether any of you can help me. SPSS puts confidence intervals in graphs of frequencies and proportions,
but it clearly is not using a normal approximation, i.e. it is not using the formula $\text{CI} = m \pm 1.96 \sqrt{(p(1-p)/n}$.
apart from anything else the SPSS interval is not symmetrical around the va... | g22609 | [
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<p>I am reading about the Hotelling $T^2$ test (<em>A primer of multivariate statistic s by Richard J. Harris</em>). It says here that the test can be seen as creating a linear combination of your variables and then obtaining the set of coefficients that maximizes the 'combined t radio'.</p>
<p>So I start on the math ... | g64477 | [
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<p>I am using eviews 7 and I have 3 data sets for DAX stock market index: level (dax), log (ldax), and log differences (dldax). I need to check whether the error terms of these data sets are white noise or not. </p>
<p><strong>Attempt:</strong> I am estimating an equation $y_t=c+\beta y_{t-1} +v_t$ for each data set. ... | g22610 | [
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<p>I have 10 minutes-intervaled wait-times data for a coffee shop for 4 weeks between 9am-5pm. I use R's ts for my analysis. What should be the frequency parameter? </p>
<p>Is it (48=# of intervals per day) or just 1? </p> | g22615 | [
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<p>A time-honored reminder in statistics is "uncorrelatedness does <em>not</em> imply independence". Usually this reminder is supplemented with the psychologically soothing (and scientifically correct) statement "when, nevertheless the two variables are <strong>jointly normally distributed</strong>, then uncorrelatedne... | g22619 | [
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<p>I'm using artificially generated hazard curves (that is, I know the true hazard curve) and Aalen's additive model to fit the covariates. For example, below is an individual's hazard curve and my estimate of it: <img src="http://i.stack.imgur.com/LC6nJ.png" alt="enter image description here"> </p>
<p>It's a good fit... | g22621 | [
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<blockquote>
<p>Suppose $X$ and $Y$ are random variables, $E(Y^2) < \infty$ and
$\varepsilon = Y - E(Y|X)$ so that $Y = E(Y|X) + \varepsilon$.</p>
<p>Given that $E(\varepsilon | X) = E(\varepsilon) = 0$, show that
$Cov(\varepsilon , E(Y|X)) = 0$.</p>
</blockquote>
<p>This question has multiple parts so $... | g64478 | [
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<p>An average of <strong>n</strong> birds fly through an area, in an hour, following a Poisson process. (I think this means the hours don't matter; there's no influence in the number of birds that fly through, at different parts of the day, hypothetically. Correct me if I'm wrong.)
P1 is the probability that exactly <s... | g64479 | [
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<p>I have 100,000 metal parts on a production line a week. Parts can either be fine, or defective. </p>
<p>Random parts are automatically pushed onto a conveyor belt to be checked by a human. We then do a simplistic calculation like: After checking 1000 parts, 5 are defective, 5/1000 = 0.5% defective, so potentially 0... | g42191 | [
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<p>I have what seems like a fairly common business statistics scenario: I need to compare one group of stores to another group of stores and be able to say if their difference in sales is statistically different.</p>
<p>For example:
Group A ($n_A$ = 30 stores) participated in a promotion and saw an avg sales increase ... | g22625 | [
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<p>Let $S_n = \frac{1}{n}\sum_{i=1}^n X_i$, and $T_n = \frac{1}{n}\sum_{j=1}^nY_i$, where </p>
<p>The $X_i$ are iid, the $Y_i$ are iid (with a different law)</p>
<p>$X_i$, and $Y_i$ are dependent </p>
<p>For $i\neq j$, $X_i$ and $Y_j$ are independent. </p>
<p>Is there a central limit type result for $S_n^2 - T_n^2$... | g64480 | [
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<p>Is there a closed form solution for this inverse CDF?</p> | g22626 | [
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<p>I have a set of documents that are OCR-ed and represented as a text file. I want to find out what are the documents that are talking about the same subject and maybe about the same person. I started to look if this problem has been addressed in webpages. For example, I'd like to search for all the webpages that tal... | g64481 | [
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<p>In logistic regression, I have a variable with larger coefficient and larger p-value and another variable with smaller coefficient and smaller p-value. If use p-value then the latter one is more significant, but if calculate odds ratio, the first one is more influential. How should I interpret this? Which one is mor... | g22627 | [
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<p>Im training an SVM on a dataset containing 17000 events with 30 features. as I see it, this amount of features against the dataset size should suffice by itself for avoiding overfitting. </p>
<p>Im training an RBF kernel and I get somewhat strange results. Im pretty sure my training flow is correct, so it is not th... | g64482 | [
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<p>I done a GLMM with the function glmer form lme4, the variable paternity is binomial (yes or no)(model<-glmer(paternity~factor1, factor 2 ....,family=binomial).
My model run correctly, but after I want plot the effect.
So I used the package effects.
When I plot my effect, the Y-axis is numeric but I do not underst... | g64483 | [
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-0.052153512835502625,
-0.035372279584407806,
-0.04111946374177933,
0.041651658713817596,
0.021079570055007935,
... |
<p>Say, I have sensory panel data for 30 products, which are scored by 11 panelist in 2 replicates for different traits. To fit this data,I am using model of the form:</p>
<p>yijr = alpha_j + beta_j*theta_i + error_ijr</p>
<p>i= panelists, j= products, r= replicates</p>
<p>In this model, I am considering multiplicat... | g64484 | [
0.014161230996251106,
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0.03436971455812454,
0.010128035210072994,
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-0.033480338752269745,
0.015080851502716541,
0.012644796632230282,
... |
<p>If I calculate the returns in my time series as follows,</p>
<p>$\ln(P_t / P_{t-1})$, where $P_t$ is the price at time <em>t</em> and $P_{t-1}$ is the price at $t-1$</p>
<p>then I do the ADF test, my $H_0$ is rejected. So my conclusion is that I do not have a unit root, so my time series have stationarity propert... | g64485 | [
0.01600268855690956,
0.025187669321894646,
0.01630791462957859,
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0.03851797804236412,
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0.0784497931599617,
0.018128694966435432,
0.001... |
<p>I am fitting a logistic Regression on data set having 700 variables (after Chisquare test) and 15000 rows. For that I did best subset analysis using glmulti package in R on first 70 variables and got a subset based on min AIC, after that I added manually variables to my Model, this I repeated for another 30 variable... | g22629 | [
0.035991959273815155,
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0.013923178426921368,
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0.021731754764914513,
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0.03778492286801338,
0.05704177916049957,
0.016237182542681694,
0.04... |
<p>I am a newbie with <strong>pyMC</strong> and I want to program an <strong>MCMC</strong> sampling for a complicated problem. I have a function given by in the following:</p>
<p>$$g(r,c,\theta_1,\theta_2)=\frac{\delta_c}{\Sigma x^2}\log{\frac{x}{2}}$$</p>
<p>The parameter $\Sigma$ and $\delta_c$ and $x$ are given by... | g64486 | [
0.028990361839532852,
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0.013682336546480656,
0.02029946818947792,
0.004179700743407011,
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0.017887543886899948,
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0.040336355566978455,
0.024... |
<p>Problem: After doing two cluster analysis, I get two arrays $V_1$ and $V_2$ of length $N$. I have a groundtruth vector as well $GT$. I want to make the comparison, which is label invariant. Say first cluster analysis constrains two labels blue and yellow, and the second cluster analysis come up with 1 and 0. </p>
... | g64487 | [
-0.012676280923187733,
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0.016572095453739166,
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0.0425146110355854,
0.021034618839621544,
0.01527839433401823,
-0.012471633963286877,
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<p>I wonder if there exists results relating properties of the prior and the likelihood to the existence of the posterior mean (or more generally to the posterior moments). Any hint or sufficiant condition will be also appreciate.</p> | g64488 | [
0.005082916468381882,
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<p>I am in the process of modeling the random variable X as the days from issuing an invoice until its payment. This variable is dependent on the days of credit for the invoice, so there are distinct X's depending on the days of credit, let's call them X_c. I'm starting with the most common, X_30, which should be cen... | g42210 | [
0.0276644304394722,
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0.026415664702653885,
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0.02904621511697769,
0.006139950826764107,
0.044789861887693405,
0.030... |
<p>I wonder how to reason when selecting samples. I am doing a panel data regression analysis about how the euro membership correlates with the budget deficit in the member countriues.</p>
<p>Using R that is:</p>
<pre><code>BUDGETDEFICIT ~ EURODUMMY + some_controll_variables
</code></pre>
<p>EURODUMMY is the variabl... | g64489 | [
0.025491323322057724,
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0.005883308127522469,
0.018141278997063637,
0.009840726852416992,
0... |
<p>After some reading in the field I was confused as to whether these two models are distinct or really the same. I'm just looking for a simple yes/no with a brief explanation.</p>
<p>Note that <em>Auto-Associative</em> is a term used mostly in the context of Neural Networks, only rarely in the context of decision or ... | g11939 | [
0.04548581689596176,
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0.01979486644268036,
0.012380776926875114,
0.03637537360191345,
0.08040406554937363,
-0.037097... |
<p>I have a dependent variable which I would like to estimate using a tobit model. </p>
<p>The dependent variable measures change between two points in time, and thus can take on either positive or negative values. Some observations choose not to participate in the process generating the DV at all, so they are observe... | g64490 | [
0.010960716754198074,
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0.025791410356760025,
... |
<p>Consider a system, where each user <strong>enters</strong> the system, performs a series of predefined <strong>actions</strong>, and then <strong>exits</strong>.</p>
<p>For instance, consider a system with 5 predefined action. The action log of some user is detailed below:</p>
<blockquote>
<p><strong>enter</stro... | g64491 | [
-0.03913852944970131,
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0.036722470074892044,
0.06728914380073547,
-0.01... |
<p>To get started on statistical analysis -- where would you recommend I go to learn?</p> | g22638 | [
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0.010763528756797314,
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<p>I am not sure how to approach the statistical analysis of the following study. Any insights would be greatly appreciated. Thanks!</p>
<p>So, I have two independent groups, group A and group B. I am collecting data for 3 different tasks (Task 1, Task 2, Task 3) at 3 different time points, Pre, During and Post. There... | g64492 | [
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0.0006617287872359157,
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0.020560607314109802,
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<p>I am attempting to run a mixed model regression multiple times on various outcomes. As opposed to copying and pasting a new proc mixed statement for each outcome how can I write a statement to cycle through it all. I took a first shot at it, but this fails to work. </p>
<pre><code>data vitd.level;set vitd.level;
ar... | g64493 | [
-0.04524238780140877,
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0.05190905183553696,
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-0.013772155158221722,
0.043634336441755295,
... |
<p>I'm looking to understand this from a managerial perspective. For example if I was explaining linear regression I would say it is a line of best fit through some data points and it can be used to predict a "y" value for some given value of "x". Is there an analogous explanation for VAR? I do not have a strong backgr... | g64494 | [
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0.022237686440348625,
0.07451917231082916,
... |
<p>Say that I have an experiment where I test the reaction time of a number of subjects where each subject makes many reaction time trials. In a Bayesian framework the reaction times ($y$) could be modeled by a hierarchical model with prior distribution both on the subject level and for the whole group of subjects. A d... | g16659 | [
0.002011881209909916,
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0.02814437262713909,
0.02774026244878769,
0... |
<p>I am trying to use an IT approach to analyse some ecological data. I have a mixed model with nested random effects (I'm using glmer in package lme4 in R). I initially fit the model with a Poisson error distribution, but it was overdispersed so I added an observation-level random effect to deal with the overdispersio... | g64495 | [
0.03873453661799431,
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0.008117969147861004,
0.04114853963255882,
-0.014612549915909767,
0.06625839322805405,
-0.05... |
<p>Suppose I have 6 different coins that have wildly different increasing chances of flipping a heads, and I know the chances of flipping a heads for each.</p>
<p>(ie. Coin 1: 1/280 chance of heads ... Coin 6: 1/120 chance of heads)</p>
<p>Without looking, if I choose one of these coins at random and flip it some lim... | g64496 | [
0.007503025699406862,
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0.044319674372673035,
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0.017690187320113182,
0.0267646461725235,
0.029666490852832794,
-0.049... |
<p>Show that $M(t)=e^{\frac{t}{2}}\sin(B(t))$ is a martingale by using Ito s formula.</p>
<p>$B(t)$ is brownian-motion.</p>
<p>i must show $s \le t $ then $E(M(t)|\mathcal F_{s})=M(s)$ but i dont know how use ito formula<br>
thanks for help</p> | g22648 | [
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0.005289791617542505,
0.08706128597259521,
0.09527359902858734,
0.0... |
<p>I have been struggling with this for weeks now. All EP examples that I have found on the net seem to deal with univariate priors and I am really at a loss as to how to make it work with a multivariate prior. The scenario is as follows: I am trying to estimate a bunch of parameters where the prior over these paramete... | g64497 | [
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0.027765071019530296,
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0.022042233496904373,
0... |
<p>We are preparing a manuscript and the editor asked us to convert a figure with a boxplot into a table "because of the more exact data content". While I think boxplots are pretty decent in revealing something about the data, I was wondering what you guys think about this? Do you (often) opt for tables over boxplots f... | g22650 | [
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0.08182170242071152,
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<p>I have a data set of 500 companies which have been clustered into groups based on their answers to survey questions. I'm trying to gauge whether the profitability between groups is statistically different, and if so what the correct test is to use.</p>
<p>Profitability is indicated as a binary variable (1,0).</p>
... | g64498 | [
-0.04785677790641785,
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0.08192098140716553,
0.05055326595902443,
0.029675360769033432,
-0.0... |
<p>I am trying to creat a multiple regression model with a forward stepwise procedure. Predictors are air temperature, soil temperature, PAR and snow depth. I also want to see if there are some interaction effect between snow depth and other factors that can also be included in the model. Should I include the interacti... | g64499 | [
0.04808667674660683,
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0.011446294374763966,
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0.05230215564370155,
0.0... |
<p>Is there a function to test the hypothesis that the correlation of two vectors is equal to a given number, say 0.75? Using cor.test I can test cor=0 and I can see whether 0.75 is inside the confidence interval. But is there a function to compute the p-value for cor=0.75?</p>
<pre><code>x <- rnorm(10)
y <- x+r... | g64500 | [
0.04798715189099312,
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0.011169319972395897,
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0.06746315956115723,
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0.041329607367515564,
0.028588104993104935,
-0... |
<p>I am wanting to examine whether religiosity moderates intervention effects on stigmatized attitudes. Here are my variables:
X = group (1 = experimental; 0 = control)
Z = religiosity (14-item scale - using total score)
Y = either post-test scores or pre-post change scores - Social Distance; Genderism/Transphobia</p>... | g64501 | [
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0.02740449272096157,
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0.03276178613305092,
-0.03308546170592308,
0.0120... |
<p>I have the <code>plm</code> package and would like to run unit root tests on some variables. I get the following error:</p>
<pre><code>> purtest(data$tot.emp)
Error in data.frame(baldwin = c(59870, 61259, 60397, 58919, 57856, 57227, :
arguments imply differing number of rows: 14, 19, 11, 12, 1, 20, 18, 10, 1... | g22653 | [
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0.0049741920083761215,
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-0.01599462702870369,
0.02464505098760128,
-0.047589920461177826,
... |
<blockquote>
<p><strong>Possible Duplicate:</strong><br>
<a href="http://stats.stackexchange.com/questions/5747/if-a-and-b-are-correlated-with-c-why-are-a-and-b-not-necessarily-correlated">If A and B are correlated with C, why are A and B not necessarily correlated?</a> </p>
</blockquote>
<p>Lets say, we have c... | g49697 | [
0.05521783605217934,
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0.0006969420937821269,
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0.08424080908298492,
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0.037042032927274704,
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-0.015094856731593609,
0.007826282642781734,
0.0469994954764843,
-0.017810532823204994,
... |
<p>I been trying, with no luck, to find the correct algorithm for the following 2 scenarios and I can't seem to get it right.</p>
<p><strong>First scenario</strong></p>
<p>Every day I get data like the following:</p>
<pre><code>+---------+----------+----------+----------+----------+---------+
| day | keyword1 | ... | g64502 | [
-0.011803091503679752,
0.002123988000676036,
-0.040508247911930084,
-0.009925974532961845,
0.026574037969112396,
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0.019638916477560997,
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-0.01174512505531311,
-0.018751228228211403,
0.004796893335878849,
0.06666611135005951,
... |
<p>Given that software can do the Fisher's exact test calculation <a href="http://stats.stackexchange.com/questions/1805/fishers-exact-test-in-contingency-tables-larger-than-2x2/1806#1806">so easily nowadays</a>, is there any circumstance where, theoretically or practically, the chi-squared test is actually preferable ... | g49928 | [
0.018666332587599754,
0.0006740588578395545,
0.017397096380591393,
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0.007048473227769136,
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0.06588885188102722,
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0.02158384583890438,
0.004584933631122112,
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0.023141255602240562,
0.... |
<p>Suppose that ${X_n; Y_n}$ is a random process with a discrete alphabet, that is, taking on values in a discrete set for $n$ data length. They correspond to the input and output of a communication process. Assuming Y to be the discretized output, what is meant by Shannon's source entropy for a given discretization bi... | g42259 | [
0.01119082048535347,
0.00727491918951273,
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0.001785016618669033,
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0.0014083051355555654,
0.006234204862266779,
-0.03222130611538887,
0.044663604348897934,
0.0077879042364656925,
-0... |
<p>I need some advice on how to proceed with my data analysis. I have 3 groups (Archaea, Bacteria and Eukarya). Each group has unequal number of individual species (70, 651, and 244 respectively). Each specie was given 7 different treatments (A, B, C, D, E, F, and G) and I counted the number of domains (you can call it... | g42260 | [
-0.001903313328512013,
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0.... |
<p>Consider a simple time series:</p>
<pre><code>> tp <- seq_len(10)
> tp
[1] 1 2 3 4 5 6 7 8 9 10
</code></pre>
<p>we can compute an adjacency matrix for this time series representing the temporal links between samples. In computing this matrix we add an imaginary site at time 0 and the link betwe... | g64503 | [
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<p>I am wondering if prediction interval and credible interval evaluate the same thing.</p>
<p>For instance with a linear regression, when you estimate the prediction interval of a fitted values, you estimate the $(1-\alpha)\%$ limits of the interval in which you expect your value to fall. Conversely to a confidence i... | g64504 | [
0.07208077609539032,
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<p>I have been trying to learn and apply ARIMA models. I have been reading an excellent text on ARIMA by Pankratz - <em><a href="http://ca.wiley.com/WileyCDA/WileyTitle/productCd-0471090239.html" rel="nofollow">Forecasting with Univariate Box - Jenkins Models: Concepts and Cases</a></em>. In the text the author especi... | g22661 | [
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<p>Suppose I have 5 possible events which either happened or did not happen in the preceding 10 time periods. How do I figure out how probable any event is in the 11th period?</p>
<pre><code> t11 t10 t9 t8 t7 t6 t5 t4 t3 t2 t1
A 1 1 1 1 1 1 1 1 1 1
B 0 0 1 1 0 1 1 ... | g42273 | [
0.04474729299545288,
0.011047662235796452,
0.019801363348960876,
-0.025012308731675148,
0.034781552851200104,
-0.03633296489715576,
0.07887905091047287,
0.04024084284901619,
0.007336700800806284,
-0.019016757607460022,
-0.053472742438316345,
0.033854953944683075,
0.021799668669700623,
0.04... |
<p>Is R-square an important measure in Holt-Winters method?</p> | g22665 | [
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0.009430780075490475,
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0.027962371706962585,
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0.01392601989209652,
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0.0... |
<p>I want to train a classifier, say SVM, or random forest, or any other classifier. One of the features in the dataset is a categorical variable with 1000 levels. What is the best way to reduce the number of levels in this variable. In R there is a function called <code>combine.levels()</code> in the <strong>Hmisc</st... | g42275 | [
0.0012882578885182738,
0.021011710166931152,
0.019863750785589218,
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0.0013141072122380137,
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-0.018764983862638474,
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0.... |
<p>I have been tasked with analyzing temperature time series from multiple weather stations. I have minute and hour resolution temperature data spanning three years at 4 stations and 35 stations respectively. The stations reside on ~1000 km^2 (southern tip of Vancouver Island) so they cover a relatively concentrated ar... | g22666 | [
0.032960910350084305,
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0.047692812979221344,
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... |
<p>I have a set of points in a matrix of size 100 x 100(total 10000 points). I know that there are roughly 500 anomaly points in it. There is a corresponding truth file which contains the true anomalous points which is not available while building the algorithm. The goal is to maximize the F-measure of the anomalies r... | g42277 | [
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<p>I ran across the Stock & Watson 1993 paper on DOLS and was wondering if an implementation of it exists in R. A colleague was showing me EViews the other day and they have a DOLS model built in as part of their base package, but I have been unable to find a similar capability in any existing R package. Is there a... | g37587 | [
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... |
<p>If we have colinearity among our axplanatory variables we can calculate a varianvce inflation factor to estimate the effects on our standard errors</p>
<p>$$
VIF = 1/(1-R^2)
$$</p>
<p>I am unsure how to calcuate this for a mixed effects model. I <a href="https://github.com/aufrank/R-hacks/blob/master/mer-utils.R" ... | g21282 | [
0.03619268909096718,
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0.07347762584686279,
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0.0461... |
<p>I have a 2-d Gaussian mixture model and would like to compute a confidence region for it. Our application is that the two dimensions are latitude and longitude; that is, we want to say something like "the model is 95% confident that the true point lies within this (perhaps noncontiguous) region".</p>
<p>In other wo... | g40635 | [
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0.03580669313669205,
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-0.... |
<p>I'm creating a generalised linear regression using a binomial link function for
two variables A and B. From looking at the data it appears that A/B may have
discriminatory effect. Is it sensible to include A/B as an additional term in
the model? Thinking about this myself, this appear term would be the inverse of
in... | g22674 | [
0.024118512868881226,
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0.021398739889264107,
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0.03728166222572327,
0.048807255923748016... |
<blockquote>
<p><strong><em>Question 1</em></strong>:<br/>
When we merge two beta distribution, how do we arrive at the posterior parameter values? Which is the right formula and why? <br/>In one of my earlier queries, Henry mentioned <strong>Option 2</strong> as the correct way of calculating the posterior paramet... | g64505 | [
0.0592772476375103,
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0.018247060477733612,
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0.0062730503268539906,
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0.00921787042170763,
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0.004088523797690868,
0.030880259349942207,
0.... |
<p>I am trying to predict a choice (which software will the participants use?) using the psychological measurements taken when the participants tried out the four possibilities. I have used linear mixed models, but the DVs are not suitable for that. GEE was suggested, but as I've never used it, I'm not sure it's proper... | g64506 | [
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-0.03968900814652443,
-0.003761744825169444,
0.0006678964709863067... |
<p>I'm interested to know that, what is the difference between linear regression and multiple linear regression? both of them seems same to me.</p> | g64507 | [
0.05089055001735687,
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0.0036019168328493834,
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<p>OK, I know its not possible because Log(0) is undefined. But here is my Problem:</p>
<p>I measured a Weight gain of my Test object's over Time. Test objects, made of nonwoven material, were placed in very humid Atmosphere (enclosed above a Tank of heated Water). As they absorbed kondensated Water their total Weight... | g22676 | [
0.03367384895682335,
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0.029659954831004143,
0.07291306555271149,
0.04... |
<p>I am trying to compare two methods for evaluating diagnostis of menisci in the knee. One is ultrasonographic where we can have 6 different diagnostic outcomes. The old method that serves as the gold standard also yields 6 different surgical outcomes. I would like to see if there is a correlation between the diagnost... | g64508 | [
0.03297009691596031,
0.023957302793860435,
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0.031971774995326996,
0.0... |
<p>Is there a close formula (or some kind of bound) on the EMD between $x_1\sim N(\mu_1, \Sigma_1)$ and $x_2 \sim N(\mu_2, \Sigma_2)$?</p> | g64509 | [
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0... |
<blockquote>
<p><strong>Possible Duplicate:</strong><br>
<a href="http://stats.stackexchange.com/questions/44928/ancova-and-its-disturbing-assumptions">ANCOVA and its disturbing assumptions</a> </p>
</blockquote>
<p>I am testing whether prenatal smoking affects intelligence, while controlling for social economi... | g49698 | [
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0.005576197523623705,
0.023158375173807144,
0.0021906413603574038,
-0.006904234644025564,
... |
<p>I'm trying to compare the frequency of a keyword is mentioned on Twitter in a monthly basis (e.g.: how many times the keyword "MissWorld" appears on September, how many it appears on August, how many it appears on July, etc).</p>
<p>Something similar with <a href="http://google.com/trends/" rel="nofollow">Google Tr... | g64510 | [
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0.0... |
<p>I asked this question on <a href="http://stackoverflow.com/">http://stackoverflow.com/</a>, but I couldn't get what I want. So, I am asking it here.</p>
<p>I am running winbugs from R and I need to use some variables in R output. When I type <code>schools.sim\$mean\$theta[1]</code> in R, I get 10.2. However, when I... | g42300 | [
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<p>We know that Ljung-Box test can be used to test for the residuals of a fitted model. But to test for the serial correlation of a time series itself, is there a way to do that?</p> | g22683 | [
0.030164998024702072,
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<p>I am learning individual differences scaling (AKA three-way multidimensional scaling) and I want to know what different ways there are to state that my results are reliable.</p>
<p>I had to perform individual differences scaling in 2 dimensions on the data, and give the group object space. I work in <code>R</code>,... | g64511 | [
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0.0517914779484272,
0.024... |
<p>Is the following correct? My friend tells me i need to (add up the binomial probabilities of 2 wins in 2 sets, 2 wins in 3 sets and 2 wins in 4 sets THEN multiply the sum obtained by p)</p>
<p>P(3) = 5C3 x 0.5^3 x 0.5^2</p> | g988 | [
0.025664616376161575,
0.004094274248927832,
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0.0021126901265233755... |
<p>I'm reviewing for a test, and I am not sure if I am getting the right solution.</p>
<p>Let $X$ and $Y$ be iid $\mathcal{N}(0, \sigma^2)$ random variables.</p>
<p>a. Find the distribution of $U = X^2 + Y^2$, $V = \frac{X}{\sqrt{X^2 + Y^2}}$, </p>
<p>b. are $U,V$ independent?</p>
<p>c. Suppose $\sin(\theta) = V$. ... | g64512 | [
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0.01005590707063675,
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0.05666521564126015,
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0.0... |
<p>I have a simple regression with price returns:</p>
<p>$r_{t+1} = \alpha + \beta r_t + \epsilon$</p>
<p>My question is: do I need to do anything if $r_{t+1}$ and $r_t$ are over different horizons? Suppose the <em>x-variable</em> is a one month return but the <em>y-variable</em> is a 1-day return: do I need to adju... | g64513 | [
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0.03887885436415672,
0.030401425436139107,
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0... |
<p>I am trying to do a meta analysis, involving continuous data. I am trying to do this meta analysis in Stata using the <code>metan</code> command.</p>
<p>However, this data is organized in different fashions, where I have some studies with data listed as change in means with their standard errors and other data whic... | g64514 | [
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0.056182075291872... |
<p>I'm trying to run a zero-inflated regression for a continuous response variable in R. I'm aware of a gamlss implementation, but I'd really like to try out this algorithm by Dale McLerran that is conceptually a bit more straightforward. Unfortunately, the code is in SAS and I'm not sure how to re-write it for somethi... | g22685 | [
0.018709804862737656,
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0.028175044804811478,
0.06573717296123505,
0.06818144768476486,
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<p>Using R or Excel, what is the easiest way to convert a frequency table into a vector of values?</p>
<p>E.g., How would you convert the following frequency table</p>
<pre><code>Value Frequency
1. 2
2. 1
3. 4
4. 2
5. 1
</code></pre>
<p>into the following vector?</p>
<pre><code... | g64515 | [
0.0344662144780159,
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0.008957465179264545,
-0.014122957363724709,
0.00778307905420661,
0.006463525351136923,
-... |
<p>The two main packages I use at work are Palisade Risk and SPSS Clementine - they are both quite old versions and I've been supplementing the ability to analyze properly at work with more modern abilities available at home. E .g.at home I've been testing RapidMiner 5, which I really like in principle but have experie... | g22687 | [
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0.07581441849470139,
-0.... |
<p>I am trying to explain a time series with the help of other related series. I really get nice fits using a standard LM approach with NeweyWest VC matrix. The fit even increases drastically when I replace some of the explanatories by higher lags (lag 10) of these explanatories (quarterly series) to the mix. </p>
<p... | g64516 | [
0.05107318237423897,
0.016333533450961113,
-0.014354654587805271,
-0.06623204052448273,
-0.04093887656927109,
-0.022029226645827293,
0.013128056190907955,
-0.014879547990858555,
-0.018656732514500618,
0.025984130799770355,
0.026582473888993263,
-0.004929546266794205,
0.013846740126609802,
... |
<p>I need to sample starting positions in a DNA sequence of given length L. </p>
<p>These starting positions represent starting points of functional domains in DNA sequences. They have a length of d. The starting positions should be distributed uniformly and must have a minimal distance of d between them (functional d... | g21386 | [
0.015635408461093903,
-0.026107754558324814,
-0.00988420657813549,
-0.052154142409563065,
-0.012997227720916271,
0.007643051445484161,
0.025373440235853195,
-0.0027505888137966394,
-0.012518128380179405,
-0.006677959579974413,
0.00419866107404232,
-0.011896869167685509,
-0.03773989528417587,... |
<p>I got asked something similar to this in interview today.</p>
<p>The interviewer wanted to know what is the probability that an at-the-money option will end up in-the-money when volatility tends to infinity.</p>
<p>I said 0% because the normal distributions that underly the Black-Scholes model and the random walk ... | g64517 | [
0.02695068158209324,
0.03753750026226044,
0.008665361441671848,
0.023843830451369286,
0.008260794915258884,
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0.03205764293670654,
0.00539315165951848,
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0.00973228458315134,
-0.01825866289436817,
-0.056037306785583496,
0.014... |
<p>I wanted to carry out a two-way ANCOVA for my data. However, SPSS isn't liking that I have only one IV. </p>
<p>I have </p>
<ul>
<li>One IV: Group (3 levels, i.e. 2 experimental groups and a control group),</li>
<li>One DV: outcome measure (2 levels, i.e. time 1 and time 2),</li>
<li>One covariate (I have checked ... | g64518 | [
-0.036097243428230286,
-0.03850102797150612,
-0.028770482167601585,
-0.06096480414271355,
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0.04864957183599472,
-0.012467879801988602,
0.0037071267142891884,
-0.0207127183675766,
-0.011837871745228767,
0.032333895564079285,
0.02672344446182251,
-0.0015752960462123156,
... |
<p>My research has 4 independent variables and 5 dependent variables. My hypotheses are constructed in such a way that 1 independent variable's effect size is checked on 5 dependent variables. MANOVA is an automatically good choice for this. My independent variables are not built around categories and groups e.g. gende... | g49301 | [
-0.009582669474184513,
-0.016173863783478737,
-0.001895866938866675,
-0.026679188013076782,
-0.051245879381895065,
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0.010866107419133186,
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0.01265036128461361,
0.01279001496732235,
-0.026131628081202507,
-0.027647685259580612,
... |
<p><strong>Question:</strong></p>
<p>In a certain system, a customer must first be served by server 1 and then by server 2. The service time at server $i$ is exponential with rate $\mu_i$, $i = 1, 2$. An arrival finding server 1 busy waits in line for that server. Upon completion of service at server 1, a customer eit... | g64519 | [
-0.004842943511903286,
-0.018744181841611862,
-0.012738948687911034,
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0.0397854819893837,
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-0.022009352222085,
0.049999210983514786,
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0.011587368324398994,
-0.001724884961731732,
... |
<p>I am working with some data in which two component scores X and Y are added together to make a total score X + Y. Is there any known relationship between the correlation R for X vs. X + Y and the R for Y vs. X + Y? </p>
<p>I've played around a little bit, but I am not seeing anything except in the case where X and ... | g49699 | [
0.03653327748179436,
-0.04570434242486954,
0.020295409485697746,
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0.012502061203122139,
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0.052694570273160934,
0.011780289001762867,
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-0.054456036537885666,
0.027425561100244522,
-0.027219664305448532,
0.03758321702480316,
0... |
<p>ML = Maximum Liklihood</p>
<p>MAP = Maximum a-posteriori</p>
<p>ML is intuitive/naive in that it starts only with <em>the probability of observation given the parameter (i.e. the likelihood function)</em> and tries to find the parameter <em>best accords with the observation</em>. But it take into no consideration ... | g64520 | [
0.04268330708146095,
-0.04092453792691231,
0.005193937569856644,
-0.012983839958906174,
-0.026591001078486443,
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0.043024033308029175,
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0.004246423952281475,
0.0355871357023716,
-0.016897043213248253,
0.09496334195137024,
0.03... |
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