User VictorZurkowski

5 votes

Does the universal approximation theorem for neural networks hold for any activation function?

answered Jun 22, 2018 at 19:17

3 votes

Extreme Value Theory - Show: Normal to Gumbel

answered Apr 28, 2021 at 0:59

2 votes

Accepted

Convergence Issues for Bootstrap Distributions

answered Aug 5, 2014 at 23:14

1 vote

Accepted

Biased coin toss simulation -- which random generator is most appropriate?

answered Aug 6, 2014 at 17:37

1 vote

Why not use the T-distribution to estimate the mean when the sample is large?

answered Aug 17, 2014 at 3:57

1 vote

Is residuals autocorrelation always a problem?

answered Aug 27, 2014 at 18:36

1 vote

How can I evaluate my model when the the testing data are too few and the generated results don't match testing data

answered Aug 27, 2014 at 18:52

1 vote

How to compare coefficients within the same multiple regression model?

answered Aug 5, 2016 at 0:03

1 vote

Confidence interval for a constrained fit to Gaussian-like data

answered Aug 5, 2014 at 22:58

1 vote

How do you calculate the Tweedie prediction based on model coefficients?

answered Oct 3, 2017 at 22:41

0 votes

Confusion about the MLE vs EM algorithm

answered Nov 12, 2018 at 18:27

0 votes

Variance of weighted mean greater than unweighted mean

answered Jul 27, 2020 at 16:50

0 votes

Oversampling correction for multinomial logistic regression

answered Jul 4 at 5:32

0 votes

Time series analysis in R

answered Aug 6, 2016 at 17:40

0 votes

Influence of noisy training data on neural network

answered May 15, 2017 at 4:31

Stack Exchange Network

15 Answers

Does the universal approximation theorem for neural networks hold for any activation function?

Extreme Value Theory - Show: Normal to Gumbel

Convergence Issues for Bootstrap Distributions

Biased coin toss simulation -- which random generator is most appropriate?

Why not use the T-distribution to estimate the mean when the sample is large?

Is residuals autocorrelation always a problem?

How can I evaluate my model when the the testing data are too few and the generated results don't match testing data

How to compare coefficients within the same multiple regression model?

Confidence interval for a constrained fit to Gaussian-like data

How do you calculate the Tweedie prediction based on model coefficients?

Confusion about the MLE vs EM algorithm

Variance of weighted mean greater than unweighted mean

Oversampling correction for multinomial logistic regression

Time series analysis in R

Influence of noisy training data on neural network