User user5054

11 votes

1 answer

14k views

Why normalize data to the range [0,1] in autoencoders?

asked Sep 27, 2017 at 19:02

9 votes

1 answer

15k views

How to get the p-value for the full model from R's coxph?

asked Feb 23, 2014 at 4:36

9 votes

2 answers

20k views

Fast missing data imputation in R for big data that is more sophisticated than simply imputing the means?

asked May 20, 2014 at 2:10

7 votes

1 answer

15k views

Imputation by regression in R [closed]

asked Jun 2, 2014 at 9:04

7 votes

1 answer

3k views

Multi-task XGBoost

asked May 4, 2018 at 4:33

6 votes

1 answer

5k views

Corrected AIC (AICC) for k-means

asked Feb 9, 2014 at 2:33

5 votes

3 answers

806 views

Why do the ensemble learners do well on regression/classification tasks?

asked Jul 25, 2018 at 19:54

4 votes

1 answer

360 views

The explanation for the need to compute (rather then optimize) the posterior of latent variables

asked Jan 3, 2018 at 1:50

4 votes

1 answer

319 views

Terminology for regression with more than 1 independent variable and more than 1 dependent variable?

asked Apr 5, 2017 at 23:55

3 votes

1 answer

2k views

EM algorithm: Why do we compute the expectation with respect to the conditional distribution?

asked May 3, 2017 at 1:43

3 votes

1 answer

1k views

Why glmnet's predict function using a ridge regression fit returns different results with standardize=T vs standardize=F?

asked Feb 8, 2017 at 0:51

3 votes

1 answer

347 views

Combining very small p-values - Fisher's method gives 0

asked Aug 16, 2015 at 6:38

3 votes

2 answers

2k views

Supplying the number of lambdas in cv.glmnet

asked May 7, 2016 at 7:18

3 votes

1 answer

87 views

Why do we need to know the underlying distributions to check if two sets of paired values are significantly different (e.g. t-test)

asked Oct 6, 2016 at 23:30

3 votes

1 answer

3k views

PCA on a rank-deficient matrix using SVD of the covariance matrix

asked May 24, 2015 at 2:11

3 votes

2 answers

589 views

Singular value and eigen-decomposition of a square symmetric matrix should be identical, but differ in sign

asked May 24, 2015 at 4:44

3 votes

2 answers

12k views

Normalizing (or standardizing) Poisson data

asked Sep 5, 2017 at 23:33

2 votes

1 answer

1k views

Some confusion on learning of Generative Adversarial Networks (GANs)

asked Sep 15, 2017 at 18:42

2 votes

0 answers

543 views

Can someone explain how to solve L1 regularized logistic regression step-by-step?

asked Oct 27, 2017 at 16:35

2 votes

1 answer

373 views

Hyperparameter value while computing the test log-likelihood

asked Aug 5, 2018 at 21:44

2 votes

1 answer

249 views

Confusion about computation of average precision

asked May 23, 2019 at 23:02

2 votes

1 answer

541 views

A multiple regression vs combination of simple regressions using one variable at a time

asked Apr 17, 2020 at 2:50

2 votes

1 answer

38 views

SVM classification metrics are all 1 although there are mistakes in classification

asked Oct 12, 2020 at 14:02

2 votes

3 answers

3k views

How to generate a sparse inverse covariance matrix for sampling multivariate Gaussian vectors?

asked Jun 4, 2015 at 19:37

2 votes

1 answer

1k views

Why genes are assumed to follow multivariate normal?

asked Dec 24, 2013 at 18:10

2 votes

1 answer

86 views

Linear regression in R

asked May 29, 2014 at 8:54

2 votes

3 answers

3k views

Modified K-means with unequal cluster variances

asked Mar 6, 2014 at 6:33

2 votes

1 answer

643 views

RNA-Seq data distribution

asked Oct 10, 2016 at 1:08

2 votes

1 answer

590 views

Regularized regression vs simple regression or Pearson's correlation

asked Nov 28, 2016 at 21:28

2 votes

1 answer

317 views

Coding multiple linear regression in R when sample size is smaller than variable size

asked Jan 23, 2017 at 15:49

Stack Exchange Network

57 Questions

Why normalize data to the range [0,1] in autoencoders?

How to get the p-value for the full model from R's coxph?

Fast missing data imputation in R for big data that is more sophisticated than simply imputing the means?

Imputation by regression in R [closed]

Multi-task XGBoost

Corrected AIC (AICC) for k-means

Why do the ensemble learners do well on regression/classification tasks?

The explanation for the need to compute (rather then optimize) the posterior of latent variables

Terminology for regression with more than 1 independent variable and more than 1 dependent variable?

EM algorithm: Why do we compute the expectation with respect to the conditional distribution?

Why glmnet's predict function using a ridge regression fit returns different results with standardize=T vs standardize=F?

Combining very small p-values - Fisher's method gives 0

Supplying the number of lambdas in cv.glmnet

Why do we need to know the underlying distributions to check if two sets of paired values are significantly different (e.g. t-test)

PCA on a rank-deficient matrix using SVD of the covariance matrix

Singular value and eigen-decomposition of a square symmetric matrix should be identical, but differ in sign

Normalizing (or standardizing) Poisson data

Some confusion on learning of Generative Adversarial Networks (GANs)

Can someone explain how to solve L1 regularized logistic regression step-by-step?

Hyperparameter value while computing the test log-likelihood

Confusion about computation of average precision

A multiple regression vs combination of simple regressions using one variable at a time

SVM classification metrics are all 1 although there are mistakes in classification

How to generate a sparse inverse covariance matrix for sampling multivariate Gaussian vectors?

Why genes are assumed to follow multivariate normal?

Linear regression in R

Modified K-means with unequal cluster variances

RNA-Seq data distribution

Regularized regression vs simple regression or Pearson's correlation

Coding multiple linear regression in R when sample size is smaller than variable size