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Top Questions
114 votes

When to use gamma GLMs?

generalized-linear-model gamma-distribution asked Aug 16 '13 at 8:13
stats.stackexchange.com

106 votes

Clustering on the output of t-SNE

clustering interpretation k-means tsne asked Feb 23 '17 at 1:39
stats.stackexchange.com

39 votes

Good methods for density plots of non-negative variables in R?

r pdf gamma-distribution kernel-density-estimate asked Jul 29 '13 at 6:57
stats.stackexchange.com

37 votes

Intuition behind tensor product interactions in GAMs (MGCV package in R)

r nonparametric interaction splines intuition asked Dec 8 '12 at 21:30
stats.stackexchange.com

29 votes

Is there a way to flatten a .pdf image from the command line?

bash pdf image-manipulation gimp asked Oct 19 '14 at 0:20
unix.stackexchange.com

21 votes

How to stop a function in R that is taking too long and give it an alternative?

r time error-handling asked Dec 18 '15 at 0:14
stackoverflow.com

20 votes

Multiple imputation for outcome variables

missing-data meta-analysis multiple-imputation meta-regression asked Dec 19 '12 at 9:03
stats.stackexchange.com

17 votes

Source for high-resolution satellite images free/low-cost?

data remote-sensing google-earth google-earth-engine kenya asked May 22 '13 at 6:25
gis.stackexchange.com

15 votes

Extracting data used to make a smooth plot in mgcv

r trace mgcv asked Apr 5 '13 at 21:11
stackoverflow.com

14 votes

How to ignore missing images when compiling?

pdf external-files asked Oct 26 '13 at 9:25
tex.stackexchange.com

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Top Answers
82
Maximum Likelihood Estimation (MLE) in layman terms
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25
Adding a linear regression predictor decreases R squared
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20
What exactly is the difference between a parametric and non-parametric model?
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13
How to compute the standard errors of a logistic regression's coefficients
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10
reducible vs irreducible error
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9
Why is my R-squared so low when my t-statistics are so large?
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9
How to Interpret GAM P-Values?
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How to obtain string not longer than certain length in R
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8
Interactions in GAM
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8
Neural network for multiple output regression
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8
How to handle a “self defeating” prediction model?
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7
How to solve collinearity problems in OLS regression?
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7
Fixed vs Random Effects
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7
Regarding p-values, why 1% and 5%? Why not 6% or 10%?
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7
Power for experimental design
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7
What do “endogeneity” and “exogeneity” mean substantively?
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6
What is the relation between causal inference and prediction?
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6
Best method to analyse survey results with multiple choice of answers
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6
Random forest validation worse than one of its variables by itself
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6
Why is it so important to have principled and mathematical theories for Machine Learning?
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6
Output data from all columns in a dataframe in pandas
stackoverflow.com

5
spatial autocorrelation for time series data
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5
What is the difference between an estimator and a statistic?
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5
How to summarize GAM model result from multiple imputation data in R
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5
Predict longitudinal data with machine learning in R
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5
How to model longitudinal big data?
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