User High GPA

18 votes

5 answers

2k views

What regression/estimation is not a MLE?

asked Dec 27, 2019 at 0:02

8 votes

1 answer

484 views

Who did first perform maximum likelihood estimation?

asked Dec 27, 2019 at 4:37

6 votes

0 answers

314 views

What are some of the robustness checks for the likelihood ratio test?

asked Dec 27, 2019 at 22:01

4 votes

1 answer

99 views

Distribution with density function $\varphi=e^{-|x|}$?

asked Jun 10, 2017 at 13:04

3 votes

1 answer

76 views

Is it reasonable to set the null hypothesis as the well-accept classic model?

asked Nov 28, 2021 at 23:45

3 votes

1 answer

643 views

What is the difference between GARCH, ARGARCH, and DCC-GARCH?

asked Nov 18, 2018 at 7:37

3 votes

1 answer

573 views

What distribution has exactly three parameters for mean, variance, and skewness?

asked Jan 8, 2020 at 3:39

3 votes

0 answers

310 views

Over "specification" of a statistics model?

asked Jan 8, 2020 at 23:46

2 votes

1 answer

5k views

Approximately how many data do we need to train a artificial neural network with 2000 parameters?

asked Jul 3, 2020 at 22:01

2 votes

1 answer

40 views

What are the implicit assumptions that justify the usage of the “relative error”?

asked Apr 11, 2018 at 1:36

1 vote

1 answer

85 views

Finite additive probability defined on a "finite-additive" field

asked Apr 5 at 15:50

1 vote

0 answers

24 views

Search depth of Alpha Go and Alpha Go Zero [closed]

asked Sep 18, 2020 at 2:02

1 vote

1 answer

2k views

The Standard Error in R language lm (linear regression) is Standard Deviation or Standard Error of the Mean?

asked Dec 2, 2018 at 5:34

1 vote

1 answer

202 views

What is the name of the "test" for testing the similarity of control group and experiment group?

asked Oct 10, 2019 at 22:54

1 vote

0 answers

39 views

"Explanation power" of a parameter [closed]

asked Dec 9, 2019 at 22:29

0 votes

1 answer

59 views

Improve the accuracy of one class, at the cost of other classes

asked Aug 8, 2022 at 0:59

0 votes

1 answer

475 views

What are the basic assumptions of Bayesian probability/statistics? [closed]

asked Jun 17, 2017 at 3:22

0 votes

0 answers

229 views

Likelihood Ratio Test without Chi-square test

asked Nov 25, 2021 at 10:14

Stack Exchange Network

18 Questions

What regression/estimation is not a MLE?

Who did first perform maximum likelihood estimation?

What are some of the robustness checks for the likelihood ratio test?

Distribution with density function $\varphi=e^{-|x|}$?

Is it reasonable to set the null hypothesis as the well-accept classic model?

What is the difference between GARCH, ARGARCH, and DCC-GARCH?

What distribution has exactly three parameters for mean, variance, and skewness?

Over "specification" of a statistics model?

Approximately how many data do we need to train a artificial neural network with 2000 parameters?

What are the implicit assumptions that justify the usage of the “relative error”?

Finite additive probability defined on a "finite-additive" field

Search depth of Alpha Go and Alpha Go Zero [closed]

The Standard Error in R language lm (linear regression) is Standard Deviation or Standard Error of the Mean?

What is the name of the "test" for testing the similarity of control group and experiment group?

"Explanation power" of a parameter [closed]

Improve the accuracy of one class, at the cost of other classes

What are the basic assumptions of Bayesian probability/statistics? [closed]

Likelihood Ratio Test without Chi-square test