User Benoit Sanchez

48 votes

Accepted

What is a manifold?

answered Jul 8, 2017 at 11:05

38 votes

Accepted

Is ridge regression useless in high dimensions ($n \ll p$)? How can OLS fail to overfit?

answered Feb 15, 2018 at 9:24

23 votes

Is unbiased maximum likelihood estimator always the best unbiased estimator?

answered Jan 10, 2018 at 17:07

21 votes

Accepted

How does batch size affect convergence of SGD and why?

answered Nov 30, 2017 at 19:35

18 votes

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Relationships between correlation and causation

answered Jun 2, 2017 at 9:36

17 votes

How to correctly compute mutual information (Python Example)?

answered Oct 3, 2017 at 20:57

17 votes

Reduce Classification Probability Threshold

answered Nov 6, 2017 at 15:22

15 votes

Accepted

Can log likelihood funcion be positive

answered Dec 21, 2017 at 11:07

15 votes

Accepted

Negative probabilities: layman explanations

answered Apr 11, 2018 at 10:14

14 votes

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K-nearest-neighbour with continuous and binary variables

answered Mar 31, 2017 at 16:04

12 votes

How to understand the drawbacks of K-means

answered Jun 13, 2017 at 12:34

12 votes

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How do Bayesian Statistics handle the absence of priors?

answered Feb 3, 2018 at 13:23

9 votes

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Conditional probability formula proof

answered Apr 5, 2018 at 11:01

9 votes

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theoretical basis for logistic regression

answered Dec 28, 2017 at 17:20

9 votes

gradient versus partial derivatives

answered Jun 16, 2017 at 11:09

8 votes

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Usefulness of convexity of linear regression when there is no closed form solution

answered Jul 31, 2017 at 10:15

7 votes

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Power of the chi-squared test

answered Jul 4, 2017 at 16:00

7 votes

A job interview question on flipping a coin

answered May 31, 2017 at 17:02

7 votes

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Relation between MSE and Bias-Variance

answered Dec 29, 2017 at 13:49

6 votes

Why are contours of a multivariate Gaussian distribution elliptical?

answered Feb 1, 2018 at 21:09

6 votes

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How could I have discovered the normal distribution?

answered Feb 9, 2018 at 10:32

6 votes

Why do we assume the exponential family in the GLM context?

answered Jun 8, 2017 at 15:32

6 votes

how can I convert a negative log likelihood to likelihood?

answered Jul 18, 2017 at 15:18

5 votes

Investigating differences between populations

answered Jul 18, 2017 at 23:07

5 votes

Why would you multiply the regression coefficient by the standard deviation of the independent variable?

answered Jun 1, 2017 at 16:10

5 votes

Difference between logit and probit models

answered Jun 10, 2017 at 12:25

5 votes

Why is the likelihood function "not the same as the probability that those parameters are the right ones, given an observed sample"?

answered Jun 24, 2017 at 10:50

5 votes

P_values and effect size

answered Jun 12, 2017 at 16:38

5 votes

Accepted

Is convergence in probability equivalent to "almost surely... something"

answered Mar 13, 2018 at 11:56

4 votes

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Kruskal-Wallis test: how to calculate the exact p-value?

answered Dec 21, 2017 at 15:24

Stack Exchange Network

140 Answers

What is a manifold?

Is ridge regression useless in high dimensions ($n \ll p$)? How can OLS fail to overfit?

Is unbiased maximum likelihood estimator always the best unbiased estimator?

How does batch size affect convergence of SGD and why?

Relationships between correlation and causation

How to correctly compute mutual information (Python Example)?

Reduce Classification Probability Threshold

Can log likelihood funcion be positive

Negative probabilities: layman explanations

K-nearest-neighbour with continuous and binary variables

How to understand the drawbacks of K-means

How do Bayesian Statistics handle the absence of priors?

Conditional probability formula proof

theoretical basis for logistic regression

gradient versus partial derivatives

Usefulness of convexity of linear regression when there is no closed form solution

Power of the chi-squared test

A job interview question on flipping a coin

Relation between MSE and Bias-Variance

Why are contours of a multivariate Gaussian distribution elliptical?

How could I have discovered the normal distribution?

Why do we assume the exponential family in the GLM context?

how can I convert a negative log likelihood to likelihood?

Investigating differences between populations

Why would you multiply the regression coefficient by the standard deviation of the independent variable?

Difference between logit and probit models

Why is the likelihood function "not the same as the probability that those parameters are the right ones, given an observed sample"?

P_values and effect size

Is convergence in probability equivalent to "almost surely... something"

Kruskal-Wallis test: how to calculate the exact p-value?