User usεr11852

105 votes

Are there cases where PCA is more suitable than t-SNE?

answered Dec 4, 2016 at 1:14

98 votes

Accepted

"Model failed to converge" warning in lmer()

answered Oct 30, 2016 at 16:11

62 votes

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Why is ANOVA equivalent to linear regression?

answered Oct 2, 2015 at 21:09

60 votes

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Why is Average Treatment Effect different from Average Treatment effect on the Treated?

answered Oct 17, 2017 at 23:29

55 votes

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How to generate correlated random numbers (given means, variances and degree of correlation)?

answered Oct 7, 2012 at 20:29

49 votes

What is "baseline" in precision recall curve

answered Mar 12, 2017 at 13:21

43 votes

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Why is t-SNE not used as a dimensionality reduction technique for clustering or classification?

answered Apr 12, 2018 at 18:22

39 votes

Accepted

Binary classification with strongly unbalanced classes

answered Sep 19, 2016 at 19:44

37 votes

Prerequisites for AIC model comparison

answered Jan 28, 2013 at 21:37

37 votes

What does it mean that AUC is a semi-proper scoring rule?

answered Apr 11, 2018 at 21:43

32 votes

Accepted

How can I test whether a random effect is significant?

answered Apr 15, 2013 at 13:48

31 votes

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What is an intuitive interpretation of the leaf values in XGBoost base learners?

answered May 4, 2019 at 21:32

30 votes

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Why uppercase for $X$ and lowercase for $y$?

answered Jan 27, 2019 at 17:51

28 votes

how to avoid overfitting in XGBoost model

answered Jan 4, 2020 at 13:25

27 votes

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Is the average of positive-definite matrices also positive-definite?

answered May 29, 2017 at 22:34

27 votes

Accepted

Updating SVD decomposition after adding one new row to the matrix

answered Oct 31, 2015 at 11:14

25 votes

What kind of information is Fisher information?

answered Feb 15, 2016 at 19:13

23 votes

What is the difference between multinomial and ordinal logistic regression?

answered Jun 6, 2015 at 6:05

23 votes

Accepted

Classification XGBoost vs Logistic Regression

answered Mar 1, 2019 at 0:26

23 votes

What important ideas came since Nelder and McCullagh's book Generalized Linear Models (a 40 year old book)?

answered May 1, 2022 at 13:13

21 votes

What is the meaning of super script 2 subscript 2 within the context of norms?

answered Dec 15, 2015 at 19:05

21 votes

Accepted

Is AICc ever worse than AIC?

answered Dec 21, 2017 at 0:59

20 votes

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Choosing the hyperparameters using T-SNE for classification

answered Nov 12, 2016 at 23:39

20 votes

What is wrong with extrapolation?

answered Jun 19, 2016 at 6:40

20 votes

Accepted

How to choose the right optimization algorithm?

answered Apr 5, 2013 at 16:48

20 votes

Accepted

How do I interpret this fitted vs residuals plot?

answered Jan 19, 2014 at 2:45

20 votes

Accepted

Analysed non-linear data with GAM regression, but reviewer has suggested fitting exponential or logarithmic curves instead. Which to use?

answered Jul 10, 2021 at 15:31

20 votes

Which comes first - domain expertise or an experimental approach?

answered Dec 31, 2021 at 0:39

19 votes

PCA iteratively finds directions of greatest variance; but how to find a whole subspace with greatest variance?

answered Dec 21, 2013 at 1:46

19 votes

What are efficient algorithms to compute singular value decomposition (SVD)?

answered Sep 7, 2014 at 14:32

Stack Exchange Network

772 Answers

Are there cases where PCA is more suitable than t-SNE?

"Model failed to converge" warning in lmer()

Why is ANOVA equivalent to linear regression?

Why is Average Treatment Effect different from Average Treatment effect on the Treated?

How to generate correlated random numbers (given means, variances and degree of correlation)?

What is "baseline" in precision recall curve

Why is t-SNE not used as a dimensionality reduction technique for clustering or classification?

Binary classification with strongly unbalanced classes

Prerequisites for AIC model comparison

What does it mean that AUC is a semi-proper scoring rule?

How can I test whether a random effect is significant?

What is an intuitive interpretation of the leaf values in XGBoost base learners?

Why uppercase for $X$ and lowercase for $y$?

how to avoid overfitting in XGBoost model

Is the average of positive-definite matrices also positive-definite?

Updating SVD decomposition after adding one new row to the matrix

What kind of information is Fisher information?

What is the difference between multinomial and ordinal logistic regression?

Classification XGBoost vs Logistic Regression

What important ideas came since Nelder and McCullagh's book Generalized Linear Models (a 40 year old book)?

What is the meaning of super script 2 subscript 2 within the context of norms?

Is AICc ever worse than AIC?

Choosing the hyperparameters using T-SNE for classification

What is wrong with extrapolation?

How to choose the right optimization algorithm?

How do I interpret this fitted vs residuals plot?

Analysed non-linear data with GAM regression, but reviewer has suggested fitting exponential or logarithmic curves instead. Which to use?

Which comes first - domain expertise or an experimental approach?

PCA iteratively finds directions of greatest variance; but how to find a whole subspace with greatest variance?

What are efficient algorithms to compute singular value decomposition (SVD)?