User Matthew Drury

12 votes

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How is gradient boosting like gradient descent?

answered Jul 23, 2015 at 23:47

12 votes

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How is Simplex related to statistics at all?

answered Jul 21, 2017 at 4:10

12 votes

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Smarter example of biased but consistent estimator?

answered Sep 16, 2017 at 0:24

12 votes

The identity link function does not respect the domain of the Gamma family?

answered Jul 13, 2018 at 19:55

11 votes

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Does the universal approximation theorem for neural networks hold for any activation function?

answered Jan 30, 2018 at 5:21

11 votes

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Conditional Mean in Linear Regression

answered Jan 27, 2016 at 16:39

11 votes

For least squares estimation, what is the difference between using the estimator $\hat{\beta} = X^{T}Y$ vs $\hat{\beta} = (X^{T}X)^{-1}X^{T}Y$

answered Feb 2, 2016 at 2:28

11 votes

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Using gradient ascent instead of gradient descent for logistic regression

answered Feb 13, 2017 at 5:25

11 votes

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What to conclude when most results are statistically significant to fail to reject null hypothesis but not all?

answered Jun 4, 2017 at 22:55

10 votes

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Classification accuracy based on probability

answered Jun 9, 2017 at 15:05

10 votes

Should Dirac's delta function be regarded as a subclass of the Gaussian distribution?

answered Feb 16, 2016 at 13:32

10 votes

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Are tree estimators ALWAYS biased?

answered Apr 4, 2016 at 20:57

10 votes

What is the best book about generalized linear models for novices?

answered May 22, 2016 at 3:03

10 votes

How does the GLM handle collinear predictors?

answered Jun 9, 2015 at 19:33

10 votes

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Why am I getting 100% accuracy for SVM and Decision Tree (scikit)

answered May 9, 2015 at 4:09

10 votes

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Should the average prediction = the average value in regression?

answered May 13, 2015 at 17:09

10 votes

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Do logistic population growth models relate to binary logistic regressions?

answered May 14, 2015 at 2:47

10 votes

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Extremly poor polynomial fitting with SVR in sklearn

answered May 16, 2015 at 16:59

10 votes

What is "Verbose" in scikit-learn package of Python?

answered May 24, 2015 at 17:26

10 votes

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What's the intuition for ABA' in linear algebra?

answered Mar 5, 2018 at 22:41

10 votes

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Why does sklearn Ridge not accept warm start?

answered Apr 30, 2018 at 22:32

9 votes

Is A truly better than B, given that 56% of 131 respondednts said so?

answered Aug 7, 2018 at 21:44

9 votes

Need help understanding what a natural log transformation is actually doing and why specific transformations are required for linear regression

answered Mar 22, 2019 at 23:52

9 votes

What does it mean to say that $X_1, X_2$ have a "common" Normal distribution?

answered Jan 3, 2019 at 20:14

9 votes

Variance term in bias-variance decomposition of linear regression

answered Oct 16, 2017 at 16:03

9 votes

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GLMnet - "Unstandardizing" Linear Regression Coefficients

answered Jun 3, 2015 at 18:45

9 votes

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Calculate mean and variance of a distribution of a distribution

answered Jul 22, 2015 at 23:39

9 votes

What are the differences between Ridge regression using R's glmnet and Python's scikit-learn?

answered Jul 6, 2015 at 22:23

9 votes

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Top variables from LASSO not significant in regular regression

answered Dec 2, 2016 at 19:42

9 votes

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interpretation of gbm single tree prediction in pretty.gbm.tree

answered Nov 22, 2016 at 16:48

Stack Exchange Network

433 Answers

How is gradient boosting like gradient descent?

How is Simplex related to statistics at all?

Smarter example of biased but consistent estimator?

The identity link function does not respect the domain of the Gamma family?

Does the universal approximation theorem for neural networks hold for any activation function?

Conditional Mean in Linear Regression

For least squares estimation, what is the difference between using the estimator $\hat{\beta} = X^{T}Y$ vs $\hat{\beta} = (X^{T}X)^{-1}X^{T}Y$

Using gradient ascent instead of gradient descent for logistic regression

What to conclude when most results are statistically significant to fail to reject null hypothesis but not all?

Classification accuracy based on probability

Should Dirac's delta function be regarded as a subclass of the Gaussian distribution?

Are tree estimators ALWAYS biased?

What is the best book about generalized linear models for novices?

How does the GLM handle collinear predictors?

Why am I getting 100% accuracy for SVM and Decision Tree (scikit)

Should the average prediction = the average value in regression?

Do logistic population growth models relate to binary logistic regressions?

Extremly poor polynomial fitting with SVR in sklearn

What is "Verbose" in scikit-learn package of Python?

What's the intuition for ABA' in linear algebra?

Why does sklearn Ridge not accept warm start?

Is A truly better than B, given that 56% of 131 respondednts said so?

Need help understanding what a natural log transformation is actually doing and why specific transformations are required for linear regression

What does it mean to say that $X_1, X_2$ have a "common" Normal distribution?

Variance term in bias-variance decomposition of linear regression

GLMnet - "Unstandardizing" Linear Regression Coefficients

Calculate mean and variance of a distribution of a distribution

What are the differences between Ridge regression using R's glmnet and Python's scikit-learn?

Top variables from LASSO not significant in regular regression

interpretation of gbm single tree prediction in pretty.gbm.tree