User TrynnaDoStat

41 votes

How to understand that MLE of Variance is biased in a Gaussian distribution?

answered Feb 7, 2015 at 16:06

39 votes

Why is multicollinearity not checked in modern statistics/machine learning

answered Aug 25, 2015 at 13:41

28 votes

How I can convert distance (Euclidean) to similarity score

answered Jun 23, 2015 at 13:34

25 votes

When (if ever) is a frequentist approach substantively better than a Bayesian?

answered Feb 4, 2016 at 19:22

24 votes

Accepted

Why is logistic regression called a machine learning algorithm?

answered Jun 25, 2015 at 13:46

20 votes

Accepted

Do CART trees capture interactions among predictors?

answered Apr 21, 2015 at 20:34

18 votes

Accepted

Regressions. Why a and b explains more than a+b?

answered Jan 29, 2015 at 20:29

18 votes

Maximum Likelihood Estimation (MLE) in layman terms

answered Aug 19, 2014 at 13:18

16 votes

Visually interesting statistics concepts that are easy to explain

answered Mar 3, 2020 at 18:08

15 votes

Accepted

How seriously should I consider the effects of multicollinearity in my regression model?

answered Feb 12, 2015 at 15:23

14 votes

When to use simulations?

answered Jan 30, 2015 at 14:43

13 votes

Accepted

Why does multiple linear regression fail when the number of variables are larger than the number of samples?

answered Feb 27, 2015 at 13:57

11 votes

Accepted

Deciding between a linear regression model or non-linear regression model

answered Feb 6, 2015 at 12:34

11 votes

Accepted

How is the $\chi^2_1$-distribution not a Gaussian?

answered Jul 27, 2016 at 15:52

10 votes

What is the difference between variable and random variable?

answered Mar 2, 2015 at 17:25

9 votes

What is the reason the log transformation is used with right-skewed distributions?

answered Jul 11, 2014 at 15:06

9 votes

Accepted

Using LASSO for variable selection, then using Logit

answered Jan 27, 2015 at 12:40

9 votes

How does cross-validation overcome the overfitting problem?

answered Feb 2, 2016 at 20:57

9 votes

Do descriptive statistics have p-values?

answered May 5, 2015 at 19:28

8 votes

Transformation of Random Variable - Normal Distribution

answered Mar 13, 2015 at 12:08

7 votes

How to explain degrees of freedom term to a layman?

answered Mar 21, 2015 at 12:14

7 votes

LASSO for explanatory models: shrinked parameters or not?

answered Mar 29, 2015 at 17:04

7 votes

Accepted

Why are inf and sup used in the definition of minimax estimators?

answered Mar 5, 2015 at 16:36

7 votes

Why is $p(A) \times p(B|A) = p(B) \times p(A|B)$?

answered Feb 14, 2015 at 15:21

7 votes

Accepted

GLM coefficient estimates distribution

answered Feb 23, 2016 at 14:55

7 votes

Do we still need to do feature selection while using Regularization algorithms?

answered Jan 18, 2017 at 18:22

7 votes

jenks natural breaks vs k-means

answered May 26, 2016 at 15:41

7 votes

How to understand the drawbacks of K-means

answered Dec 2, 2016 at 15:53

6 votes

Why should I be Bayesian when my model is wrong?

answered Apr 20, 2017 at 18:57

6 votes

Is bias a property of the estimator, or of particular estimates?

answered Apr 9, 2016 at 14:42

Stack Exchange Network

142 Answers

How to understand that MLE of Variance is biased in a Gaussian distribution?

Why is multicollinearity not checked in modern statistics/machine learning

How I can convert distance (Euclidean) to similarity score

When (if ever) is a frequentist approach substantively better than a Bayesian?

Why is logistic regression called a machine learning algorithm?

Do CART trees capture interactions among predictors?

Regressions. Why a and b explains more than a+b?

Maximum Likelihood Estimation (MLE) in layman terms

Visually interesting statistics concepts that are easy to explain

How seriously should I consider the effects of multicollinearity in my regression model?

When to use simulations?

Why does multiple linear regression fail when the number of variables are larger than the number of samples?

Deciding between a linear regression model or non-linear regression model

How is the $\chi^2_1$-distribution not a Gaussian?

What is the difference between variable and random variable?

What is the reason the log transformation is used with right-skewed distributions?

Using LASSO for variable selection, then using Logit

How does cross-validation overcome the overfitting problem?

Do descriptive statistics have p-values?

Transformation of Random Variable - Normal Distribution

How to explain degrees of freedom term to a layman?

LASSO for explanatory models: shrinked parameters or not?

Why are inf and sup used in the definition of minimax estimators?

Why is $p(A) \times p(B|A) = p(B) \times p(A|B)$?

GLM coefficient estimates distribution

Do we still need to do feature selection while using Regularization algorithms?

jenks natural breaks vs k-means

How to understand the drawbacks of K-means

Why should I be Bayesian when my model is wrong?

Is bias a property of the estimator, or of particular estimates?