User Zack Newsham

27 votes

8 answers

101k views

When forcing intercept of 0 in linear regression is acceptable/advisable [duplicate]

asked Jun 9, 2014 at 19:12

7 votes

0 answers

3k views

Help with a proof of Bayes classifier optimality

asked Sep 28, 2015 at 2:10

5 votes

2 answers

4k views

Classification with randomForest in R - always predicts 0

asked Jul 14, 2015 at 2:05

4 votes

2 answers

11k views

Treating predictors as numerical or categorical variable in regression

asked Oct 20, 2014 at 2:53

3 votes

2 answers

115 views

Sequential problem for n=1, non linear regression

asked Apr 10, 2013 at 20:08

2 votes

1 answer

500 views

Issues with regression and prediction

asked Jun 12, 2014 at 5:51

2 votes

0 answers

148 views

Multi factor classification

asked Sep 19, 2015 at 5:22

2 votes

2 answers

721 views

Exponentiated Weibull Distribution

asked Nov 19, 2015 at 0:59

1 vote

0 answers

118 views

determine the probability that a value came from a distribution

asked Aug 17, 2016 at 17:55

1 vote

2 answers

515 views

How close does a distribution have to be to normal, in order for predictions to be accurate?

asked Aug 28, 2015 at 5:39

1 vote

1 answer

878 views

Predicting binary dependent gives non-binary predictions

asked Jun 16, 2014 at 2:40

1 vote

0 answers

616 views

confidence interval using median

asked Jun 18, 2014 at 4:43

1 vote

1 answer

604 views

Survival analyses for complicated models

asked Jun 10, 2014 at 19:22

1 vote

1 answer

2k views

Hypothesis test two probabilities are different

asked Jul 10, 2015 at 0:03

0 votes

0 answers

27 views

Significance of multi factor interactions in linear regression

asked May 1, 2015 at 3:09

0 votes

0 answers

567 views

Using model from one data set to predict results for another data set

asked Oct 19, 2018 at 18:05

Stack Exchange Network

16 Questions

When forcing intercept of 0 in linear regression is acceptable/advisable [duplicate]

Help with a proof of Bayes classifier optimality

Classification with randomForest in R - always predicts 0

Treating predictors as numerical or categorical variable in regression

Sequential problem for n=1, non linear regression

Issues with regression and prediction

Multi factor classification

Exponentiated Weibull Distribution

determine the probability that a value came from a distribution

How close does a distribution have to be to normal, in order for predictions to be accurate?

Predicting binary dependent gives non-binary predictions

confidence interval using median

Survival analyses for complicated models

Hypothesis test two probabilities are different

Significance of multi factor interactions in linear regression

Using model from one data set to predict results for another data set