User Coolio2654

1258 votes

27 answers

838k views

Making sense of principal component analysis, eigenvectors & eigenvalues

claws

12.9k

asked Sep 15, 2010 at 20:05

530 votes

23 answers

286k views

Why square the difference instead of taking the absolute value in standard deviation?

standard-deviation definition absolute-value faq

c4il

5,545

asked Jul 19, 2010 at 21:04

481 votes

20 answers

170k views

The Two Cultures: statistics vs. machine learning?

machine-learning pac-learning

Shane

12k

asked Jul 19, 2010 at 19:14

389 votes

9 answers

764k views

What is the difference between fixed effect, random effect and mixed effect models?

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Andrew

5,668

asked Nov 19, 2010 at 0:03

384 votes

7 answers

369k views

When conducting multiple regression, when should you center your predictor variables & when should you standardize them?

multiple-regression standardization centering

mathieu_r

4,251

asked Jun 4, 2012 at 16:32

266 votes

11 answers

181k views

How would you explain Markov Chain Monte Carlo (MCMC) to a layperson?

bayesian markov-chain-montecarlo intuition teaching

Neil McGuigan

9,452

asked Jul 19, 2010 at 23:21

226 votes

4 answers

331k views

When (and why) should you take the log of a distribution (of numbers)?

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PhD

13.7k

asked Nov 23, 2011 at 20:41

223 votes

4 answers

418k views

How to interpret a QQ plot

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JohnK

18.7k

asked Jun 5, 2014 at 10:44

207 votes

8 answers

464k views

In linear regression, when is it appropriate to use the log of an independent variable instead of the actual values?

regression distributions data-transformation logarithm faq

d_2

2,221

asked Jul 20, 2010 at 13:11

179 votes

3 answers

214k views

What is the difference between a consistent estimator and an unbiased estimator?

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MathematicalOrchid

2,520

asked Jun 24, 2012 at 16:41

124 votes

4 answers

50k views

Is it possible to have a pair of Gaussian random variables for which the joint distribution is not Gaussian?

normal-distribution multivariate-analysis copula bivariate

MarkSAlen

2,589

asked Jun 9, 2012 at 22:31

107 votes

4 answers

92k views

How to select kernel for SVM?

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xiaohan2012

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asked Nov 7, 2011 at 11:12

89 votes

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36k views

What is an "uninformative prior"? Can we ever have one with truly no information?

bayesian prior uninformative-prior

Fomite

21.5k

asked Jan 3, 2012 at 5:12

77 votes

8 answers

117k views

How and why do normalization and feature scaling work?

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erogol

1,447

asked Nov 1, 2012 at 20:20

59 votes

6 answers

38k views

What are alternatives of Gradient Descent?

machine-learning svm neural-networks

Tropa

825

asked May 9, 2014 at 7:21

57 votes

7 answers

25k views

Is there any gold standard for modeling irregularly spaced time series?

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Qbik

1,497

asked Aug 6, 2012 at 21:05

57 votes

5 answers

57k views

What is the difference between GARCH and ARMA?

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John

745

asked Oct 30, 2012 at 14:20

51 votes

6 answers

113k views

What do "endogeneity" and "exogeneity" mean substantively?

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user25901

511

asked May 21, 2013 at 6:22

29 votes

5 answers

3k views

Introductory reading on Copulas

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NaN

586

asked Sep 25, 2012 at 9:54

27 votes

3 answers

70k views

How to systematically remove collinear variables (pandas columns) in Python? [closed]

python multicollinearity scikit-learn

orange1

557

asked Jun 1, 2015 at 18:47

23 votes

6 answers

2k views

Advanced regression modeling examples

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Robert Kubrick

4,168

asked Nov 2, 2014 at 23:16

21 votes

1 answer

12k views

Choosing between uninformative beta priors

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Mateus

211

asked Aug 14, 2017 at 19:57

21 votes

5 answers

4k views

Why use extreme value theory?

quantiles extreme-value

cqcn1991

1,155

asked Jun 26, 2015 at 9:58

21 votes

3 answers

9k views

Crash course in robust mean estimation

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Ondrej

567

asked Mar 3, 2012 at 17:41

19 votes

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7k views

How to do exploratory data analysis to choose appropriate machine learning algorithm

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Heisenberg

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asked Oct 16, 2014 at 17:54

18 votes

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How to add two dependent random variables?

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Mesko

183

asked Jan 23, 2012 at 11:55

16 votes

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Are log difference time series models better than growth rates?

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A. Smith

161

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16 votes

1 answer

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How can I calculate a critical t value using R?

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jurassic

263

asked Jan 24, 2012 at 6:49

15 votes

1 answer

8k views

LogLikelihood Parameter Estimation for Linear Gaussian Kalman Filter

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MoonKnight

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asked Feb 6, 2014 at 15:45

13 votes

2 answers

6k views

PyMC beginner: how to actually sample from the fitted model

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jmmcd

363

asked Apr 28, 2013 at 16:45

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Making sense of principal component analysis, eigenvectors & eigenvalues

Why square the difference instead of taking the absolute value in standard deviation?

The Two Cultures: statistics vs. machine learning?

What is the difference between fixed effect, random effect and mixed effect models?

When conducting multiple regression, when should you center your predictor variables & when should you standardize them?

How would you explain Markov Chain Monte Carlo (MCMC) to a layperson?

When (and why) should you take the log of a distribution (of numbers)?

How to interpret a QQ plot

In linear regression, when is it appropriate to use the log of an independent variable instead of the actual values?

What is the difference between a consistent estimator and an unbiased estimator?

Is it possible to have a pair of Gaussian random variables for which the joint distribution is not Gaussian?

How to select kernel for SVM?

What is an "uninformative prior"? Can we ever have one with truly no information?

How and why do normalization and feature scaling work?

What are alternatives of Gradient Descent?

Is there any gold standard for modeling irregularly spaced time series?

What is the difference between GARCH and ARMA?

What do "endogeneity" and "exogeneity" mean substantively?

Introductory reading on Copulas

How to systematically remove collinear variables (pandas columns) in Python? [closed]

Advanced regression modeling examples

Choosing between uninformative beta priors

Why use extreme value theory?

Crash course in robust mean estimation

How to do exploratory data analysis to choose appropriate machine learning algorithm

How to add two dependent random variables?

Are log difference time series models better than growth rates?

How can I calculate a critical t value using R?

LogLikelihood Parameter Estimation for Linear Gaussian Kalman Filter

PyMC beginner: how to actually sample from the fitted model