User generic_user

94 votes

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Maximum Likelihood Estimation (MLE) in layman terms

answered Aug 19, 2014 at 13:34

35 votes

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What exactly is the difference between a parametric and non-parametric model?

answered Mar 20, 2017 at 14:35

27 votes

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Adding a linear regression predictor decreases R squared

answered Dec 4, 2017 at 15:47

14 votes

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reducible vs irreducible error

answered Feb 3, 2017 at 16:45

14 votes

Interactions in GAM

answered Feb 16, 2014 at 22:53

14 votes

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How to compute the standard errors of a logistic regression's coefficients

answered Mar 10, 2014 at 20:21

12 votes

How to Interpret GAM P-Values?

answered May 9, 2014 at 6:34

10 votes

Why is my R-squared so low when my t-statistics are so large?

answered Nov 30, 2012 at 20:15

9 votes

spatial autocorrelation for time series data

answered Apr 23, 2013 at 0:01

9 votes

What do "endogeneity" and "exogeneity" mean substantively?

answered May 21, 2013 at 10:27

9 votes

Fixed vs Random Effects

answered Jun 18, 2013 at 16:09

8 votes

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What is the relation between causal inference and prediction?

answered Apr 23, 2013 at 3:44

8 votes

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How to solve collinearity problems in OLS regression?

answered Apr 18, 2013 at 22:35

8 votes

Neural network for multiple output regression

answered May 10, 2017 at 16:50

8 votes

How to handle a "self defeating" prediction model?

answered Oct 22, 2018 at 20:35

7 votes

Power for experimental design

answered Mar 30, 2013 at 4:44

7 votes

Regarding p-values, why 1% and 5%? Why not 6% or 10%?

answered May 21, 2013 at 3:36

6 votes

Best method to analyse survey results with multiple choice of answers

answered May 4, 2013 at 12:12

6 votes

What is the difference between an estimator and a statistic?

answered Jan 15, 2013 at 3:22

6 votes

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How to summarize GAM model result from multiple imputation data in R

answered May 27, 2014 at 20:33

6 votes

Why is it so important to have principled and mathematical theories for Machine Learning?

answered Dec 21, 2017 at 16:12

6 votes

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Predict longitudinal data with machine learning in R

answered May 22, 2017 at 21:16

6 votes

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Random forest validation worse than one of its variables by itself

answered Jan 26, 2017 at 20:36

5 votes

How to model longitudinal big data?

answered Oct 3, 2017 at 8:42

5 votes

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How does one perform multiple non-linear regression?

answered Aug 12, 2015 at 11:31

5 votes

Where do I put the control variables in 2SLS?

answered May 21, 2013 at 3:13

4 votes

Binary outcome in randomized controlled trials -- OLS or logistic?

answered Dec 17, 2014 at 21:39

4 votes

Nonlinear effect in an interaction term

answered Jan 26, 2015 at 21:09

4 votes

Fixed effect Logit with R

answered Feb 27, 2014 at 2:48

4 votes

Accepted

How to specify/restrict the sign of coefficients in a GLM or similar model in R

answered Oct 24, 2013 at 8:10

Stack Exchange Network

143 Answers

Maximum Likelihood Estimation (MLE) in layman terms

What exactly is the difference between a parametric and non-parametric model?

Adding a linear regression predictor decreases R squared

reducible vs irreducible error

Interactions in GAM

How to compute the standard errors of a logistic regression's coefficients

How to Interpret GAM P-Values?

Why is my R-squared so low when my t-statistics are so large?

spatial autocorrelation for time series data

What do "endogeneity" and "exogeneity" mean substantively?

Fixed vs Random Effects

What is the relation between causal inference and prediction?

How to solve collinearity problems in OLS regression?

Neural network for multiple output regression

How to handle a "self defeating" prediction model?

Power for experimental design

Regarding p-values, why 1% and 5%? Why not 6% or 10%?

Best method to analyse survey results with multiple choice of answers

What is the difference between an estimator and a statistic?

How to summarize GAM model result from multiple imputation data in R

Why is it so important to have principled and mathematical theories for Machine Learning?

Predict longitudinal data with machine learning in R

Random forest validation worse than one of its variables by itself

How to model longitudinal big data?

How does one perform multiple non-linear regression?

Where do I put the control variables in 2SLS?

Binary outcome in randomized controlled trials -- OLS or logistic?

Nonlinear effect in an interaction term

Fixed effect Logit with R

How to specify/restrict the sign of coefficients in a GLM or similar model in R