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  • Member for 11 years, 4 months
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96 votes
Accepted

Maximum Likelihood Estimation (MLE) in layman terms

37 votes
Accepted

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

27 votes
Accepted

Adding a linear regression predictor decreases R squared

14 votes
Accepted

reducible vs irreducible error

14 votes

Interactions in GAM

14 votes
Accepted

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

12 votes

How to Interpret GAM P-Values?

10 votes

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

9 votes

spatial autocorrelation for time series data

9 votes

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

9 votes

Fixed vs Random Effects

8 votes
Accepted

What is the relation between causal inference and prediction?

8 votes
Accepted

How to solve collinearity problems in OLS regression?

8 votes

Neural network for multiple output regression

8 votes

How to handle a "self defeating" prediction model?

7 votes

Power for experimental design

7 votes

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

6 votes

Best method to analyse survey results with multiple choice of answers

6 votes

What is the difference between an estimator and a statistic?

6 votes
Accepted

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

6 votes

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

6 votes
Accepted

Predict longitudinal data with machine learning in R

6 votes
Accepted

Random forest validation worse than one of its variables by itself

5 votes

How to model longitudinal big data?

5 votes

Fixed effect Logit with R

5 votes
Accepted

How does one perform multiple non-linear regression?

5 votes

Where do I put the control variables in 2SLS?

5 votes

Do statisticians assume one can't over-water a plant, or am I just using the wrong search terms for curvilinear regression?

4 votes

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

4 votes

Nonlinear effect in an interaction term

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