User David Marx

44 votes

Comparing SVM and logistic regression

answered Apr 27, 2014 at 1:00

35 votes

Error "system is computationally singular" when running a glm

r generalized-linear-model robust

answered Nov 13, 2013 at 19:26

31 votes

Accepted

Gentler approach to Bayesian statistics

hypothesis-testing bayesian

answered Aug 2, 2013 at 16:36

30 votes

Accepted

Difference between Bayes network, neural network, decision tree and Petri nets

machine-learning neural-networks bayesian-network fuzzy

answered Apr 21, 2014 at 6:30

24 votes

Accepted

Interpretting LASSO variable trace plots

r data-visualization interpretation lasso glmnet

answered Aug 27, 2013 at 13:54

23 votes

Accepted

Is variation the same as variance?

variance descriptive-statistics definition

answered Mar 1, 2014 at 8:34

22 votes

Accepted

Understanding Metropolis-Hastings with asymmetric proposal distribution

markov-chain-montecarlo metropolis-hastings

answered Jul 15, 2013 at 18:17

16 votes

Stats is not maths?

mathematical-statistics philosophical

answered Dec 6, 2013 at 7:14

15 votes

Accepted

How can I interpret what I get out of PCA?

pca

answered Nov 18, 2013 at 18:19

13 votes

Accepted

Q: what book on Bayesian statistics, preferably with R?

r bayesian references frequentist

answered Nov 14, 2013 at 19:43

11 votes

What is the difference between a hierarchical linear regression and an ordinary least squares (OLS) regression?

regression mixed-model least-squares multilevel-analysis

answered Aug 7, 2013 at 21:36

10 votes

How do I choose parameters for my beta prior?

prior beta-distribution

answered Jul 19, 2013 at 16:48

8 votes

Accepted

Prediction of a binary variable

probability logistic predictive-models prediction binary-data

answered Aug 8, 2013 at 15:15

8 votes

Accepted

Constructing confidence intervals for predictive model

confidence-interval modeling predictive-models

answered Aug 4, 2013 at 15:04

8 votes

Comparing histograms

histogram frequency

answered Sep 26, 2013 at 23:09

7 votes

symmetry of linear regression

r regression linear-model

answered Nov 20, 2013 at 13:23

7 votes

Does more variables mean tighter confidence intervals?

regression confidence-interval multiple-regression prediction prediction-interval

answered Dec 3, 2013 at 21:39

6 votes

Accepted

Metropolis Algorithm

bayesian markov-chain-montecarlo

answered Mar 1, 2014 at 22:55

6 votes

Why do we use conditional expectation vs regular expectation in regression?

regression probability mathematical-statistics expected-value

answered Nov 11, 2013 at 5:27

6 votes

Visualizing data - design idea

data-visualization

answered Aug 5, 2013 at 19:37

6 votes

Accepted

Named entity recognition and class imbalance

machine-learning classification unbalanced-classes multi-class memm

answered Jul 16, 2013 at 11:18

5 votes

Is there "unsupervised regression"?

regression unsupervised-learning

answered Jul 24, 2013 at 15:31

5 votes

Interpreting plot of PCA results (from 3 to 2 dimensions)

pca dimensionality-reduction

answered Aug 4, 2013 at 19:22

5 votes

Accepted

Explaining a boxplot and providing a reference in a technical paper

data-visualization boxplot

answered Nov 13, 2013 at 3:29

5 votes

Can the t-distribution be defined as the distribution on the true mean of a sampled normal?

t-distribution

answered Oct 20, 2013 at 6:02

5 votes

Accepted

How to standardize data in Excel?

standardization excel

answered Aug 18, 2013 at 14:38

5 votes

Accepted

Why do we estimate the mean response in Confidence interval but predict individual outcome in prediction?

confidence-interval estimation mathematical-statistics prediction-interval

answered Nov 10, 2013 at 1:06

5 votes

Is random forest a boosting algorithm?

machine-learning random-forest boosting bagging

answered Nov 20, 2013 at 16:17

4 votes

Accepted

How do I correctly produce a prior/posterior plot from MCMC chains in Bayesian hierarchical models?

r data-visualization histogram kernel-smoothing

answered Nov 20, 2013 at 14:06

4 votes

Accepted

Conditional distribution of a discrete random variable given a continuous one

self-study poisson-distribution gamma-distribution bayes

answered Dec 19, 2013 at 2:22

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130 Answers

Comparing SVM and logistic regression

Error "system is computationally singular" when running a glm

Gentler approach to Bayesian statistics

Difference between Bayes network, neural network, decision tree and Petri nets

Interpretting LASSO variable trace plots

Is variation the same as variance?

Understanding Metropolis-Hastings with asymmetric proposal distribution

Stats is not maths?

How can I interpret what I get out of PCA?

Q: what book on Bayesian statistics, preferably with R?

What is the difference between a hierarchical linear regression and an ordinary least squares (OLS) regression?

How do I choose parameters for my beta prior?

Prediction of a binary variable

Constructing confidence intervals for predictive model

Comparing histograms

symmetry of linear regression

Does more variables mean tighter confidence intervals?

Metropolis Algorithm

Why do we use conditional expectation vs regular expectation in regression?

Visualizing data - design idea

Named entity recognition and class imbalance

Is there "unsupervised regression"?

Interpreting plot of PCA results (from 3 to 2 dimensions)

Explaining a boxplot and providing a reference in a technical paper

Can the t-distribution be defined as the distribution on the true mean of a sampled normal?

How to standardize data in Excel?

Why do we estimate the mean response in Confidence interval but predict individual outcome in prediction?

Is random forest a boosting algorithm?

How do I correctly produce a prior/posterior plot from MCMC chains in Bayesian hierarchical models?

Conditional distribution of a discrete random variable given a continuous one