User Jon

12 votes

Correlations between continuous and categorical (nominal) variables

answered Dec 25, 2015 at 19:09

12 votes

US Election results 2016: What went wrong with prediction models?

answered Nov 9, 2016 at 19:30

11 votes

Accepted

Mclust model selection

answered Oct 10, 2016 at 18:14

10 votes

Accepted

Interpreting output from cross correlation function in R

answered Jan 3, 2017 at 0:26

7 votes

Are effect sizes really superior to p-values?

answered Aug 18, 2017 at 18:39

7 votes

Manually bootstrapping linear regression in R

answered Nov 30, 2017 at 19:10

7 votes

Determining whether a Time series is white noise

answered Nov 1, 2017 at 19:52

6 votes

Choosing statistical software based on the size of dataset

answered Nov 7, 2016 at 17:56

6 votes

Lmer output in R: Why is the variable name changing?

answered Dec 15, 2016 at 20:55

6 votes

Accepted

Find the posterior distribution of $\pi$

answered Apr 27, 2016 at 1:31

6 votes

Accepted

Cohen's Kappa Classifier vs. Groundtruth

answered Oct 16, 2017 at 21:18

5 votes

Random Forest with longitudinal data

answered Nov 9, 2016 at 21:38

4 votes

Interpretation of Cohen's $f^2$ for effect size in multiple regression

answered Mar 7, 2017 at 17:02

4 votes

What is the definition of "multivariate testing"

answered Aug 12, 2017 at 14:25

4 votes

Accepted

Correct use of binary logistic regression?

answered Aug 21, 2016 at 22:49

4 votes

Does it "rarely make sense" to compute Kendall's $\tau$ for a large sample?

answered Sep 20, 2016 at 19:10

4 votes

Accepted

What is Significant about the Bayesian Approach in Machine Learning?

answered Sep 21, 2016 at 20:50

3 votes

What are real life examples of "non-parametric statistical models"?

answered Aug 16, 2016 at 16:20

3 votes

Plotting overlaid ROC curves

answered Oct 10, 2017 at 23:50

3 votes

Data matrix, predictor matrix, observation matrix, model matrix, and design matrix. What do they mean?

answered Apr 20, 2018 at 17:38

2 votes

CIFAR-10 Can't get above 60% Accuracy, Keras with Tensorflow backend

answered Aug 15, 2018 at 18:16

2 votes

Accepted

Dimensionality reduction and regression analysis

answered Jan 12, 2018 at 0:25

2 votes

Example of "real life" use of Bayesian inference on $\mu$ from a normal distribution?

answered Jan 18, 2018 at 19:04

2 votes

Simple real world examples for teaching Bayesian statistics?

answered Jan 18, 2018 at 20:44

2 votes

High predicted R2 in training data but low accuracy on test data set

answered Feb 17, 2018 at 2:59

2 votes

ROC as feature selection

answered Feb 14, 2017 at 19:14

2 votes

Pairwise non-parametric test for small sample sizes

answered Aug 16, 2016 at 20:24

2 votes

Alternative to one-sample t-test when data is not normal

answered Aug 15, 2016 at 21:49

2 votes

How to use standard deviation of residuals to judge goodness of fit?

answered Sep 19, 2016 at 17:04

2 votes

help with unbalanced 2x3x4 factorial ANCOVA

answered Oct 21, 2016 at 3:20

Stack Exchange Network

75 Answers

Correlations between continuous and categorical (nominal) variables

US Election results 2016: What went wrong with prediction models?

Mclust model selection

Interpreting output from cross correlation function in R

Are effect sizes really superior to p-values?

Manually bootstrapping linear regression in R

Determining whether a Time series is white noise

Choosing statistical software based on the size of dataset

Lmer output in R: Why is the variable name changing?

Find the posterior distribution of $\pi$

Cohen's Kappa Classifier vs. Groundtruth

Random Forest with longitudinal data

Interpretation of Cohen's $f^2$ for effect size in multiple regression

What is the definition of "multivariate testing"

Correct use of binary logistic regression?

Does it "rarely make sense" to compute Kendall's $\tau$ for a large sample?

What is Significant about the Bayesian Approach in Machine Learning?

What are real life examples of "non-parametric statistical models"?

Plotting overlaid ROC curves

Data matrix, predictor matrix, observation matrix, model matrix, and design matrix. What do they mean?

CIFAR-10 Can't get above 60% Accuracy, Keras with Tensorflow backend

Dimensionality reduction and regression analysis

Example of "real life" use of Bayesian inference on $\mu$ from a normal distribution?

Simple real world examples for teaching Bayesian statistics?

High predicted R2 in training data but low accuracy on test data set

ROC as feature selection

Pairwise non-parametric test for small sample sizes

Alternative to one-sample t-test when data is not normal

How to use standard deviation of residuals to judge goodness of fit?

help with unbalanced 2x3x4 factorial ANCOVA