User qed

49

36

votes

3

answers

89k

views

How to derive variance-covariance matrix of coefficients in linear regression

regression

Sep 21 at 14:34 rena 1

15

32

votes

1

answer

110k

views

Comparing two models using anova() function in R

r anova

Sep 19 '16 at 17:53 amoeba says Reinstate Monica 75.4k

9

17

votes

5

answers

12k

views

Distribution of ratio between two independent uniform random variables

probability derived-distributions

Dec 9 '15 at 14:48 Community♦ 1

2

10

votes

1

answer

657

views

Why must an estimator be independent from the parameter?

estimation

Mar 18 '13 at 15:50 Community♦ 1

7

9

votes

2

answers

5k

views

How to derive errors in neural network with the backpropagation algorithm?

machine-learning neural-networks backpropagation

May 27 '18 at 23:51 Qing Song 1

4

9

votes

2

answers

760

views

Correlation significant in each group but non-significant over all?

correlation

Jun 17 '12 at 10:09 chl 46.6k

2

6

votes

1

answer

5k

views

Invariance property of maximum likelihood estimator?

maximum-likelihood

Dec 13 '18 at 11:39 Sai Brunda 1

6

votes

2

answers

195

views

Relation of slopes of predictors when they are correlated in linear regression

regression

Aug 31 '13 at 10:08 Andy 16.2k

1

6

votes

1

answer

219

views

What kind of statistical method do I need for comparing element concentrations?

r multiple-comparisons

Mar 20 '12 at 9:54 Community♦ 1

5

votes

1

answer

152

views

Approximation of explained variance

regression genetics

Aug 17 '13 at 1:05 Community♦ 1

4

votes

1

answer

129

views

What algorithms are available for logistic regression?

regression logistic generalized-linear-model optimization algorithms

Oct 3 '18 at 21:36 kjetil b halvorsen 39.6k

2

3

votes

2

answers

6k

views

How to calculate p values in logistic regression with gradient descent algorithm

regression machine-learning logistic p-value

Apr 15 '14 at 1:37 Sycorax says Reinstate Monica 51.4k

1

3

votes

1

answer

236

views

Deviance for a Normal linear model

generalized-linear-model deviance

Jan 6 '14 at 20:41 Alecos Papadopoulos 46.1k

1

3

votes

0

answers

41

views

Power analysis of linear regression when one of the causal variables is missing

regression power-analysis

Sep 17 '13 at 12:50 COOLSerdash 19.1k

1

3

votes

3

answers

2k

views

Hidden extrapolations in linear regression

regression

Aug 24 '13 at 20:54 Ray Koopman 2,003

3

votes

1

answer

389

views

Does the normal probability plot systematically underestimate the mean?

normal-distribution eda qq-plot

Aug 4 '13 at 0:17 Glen_b -Reinstate Monica 229k

3

votes

1

answer

843

views

Linear regression: b1 has the minimum variance among all unbiased linear estimators of beta1

regression

Feb 11 '13 at 22:26 Andrew 66

2

votes

0

answers

70

views

Simulate a multivariable linear model with fixed $R^2$

correlation multiple-regression

Mar 28 '17 at 17:24 Tae-Sung Shin 565

2

votes

2

answers

943

views

Residuals all zero in linear regression, what is wrong here?

regression

Jan 5 '14 at 23:40 Alecos Papadopoulos 46.1k

1

2

votes

0

answers

131

views

Take the residual of a logistic regression model and use it as a response variable in another model

regression logistic residuals

Nov 22 '13 at 1:12 Alecos Papadopoulos 46.1k

2

votes

1

answer

1k

views

Distribution of correlation coefficient between two discrete random variables and their collapsed form

r probability distributions

Aug 30 '13 at 19:57 Community♦ 1

1

vote

0

answers

126

views

Power of simple linear regression when the independent variable is correlated with the true causal variable

regression causality power bioinformatics

Aug 29 '18 at 8:42 kjetil b halvorsen 39.6k

1

vote

1

answer

36

views

Meta-analysis using known t statistics and standard errors

meta-analysis

Aug 16 '16 at 11:30 qed 1,878

1

vote

1

answer

603

views

decision boundary of support vector machine when data is not linearly separable

machine-learning classification svm

Apr 20 '14 at 20:58 Marc Claesen 15.9k

1

vote

0

answers

41

views

Are these descriptions of batch gradient descent algorithm conflicting each other?

regression machine-learning gradient-descent

Apr 15 '14 at 13:18 qed 1,878

1

vote

0

answers

379

views

What is wrong with this implementation of logistic regression (using iterative reweighted least squares)?

logistic generalized-linear-model irls

Mar 30 '14 at 15:19 qed 1,878

1

vote

0

answers

15

views

Approximation of explained variance [duplicate]

regression genetics

Feb 16 '13 at 11:21 chl 46.6k

1

0

votes

1

answer

2k

views

How to make stochastic gradient descent algorithm converge to the optimum?

regression machine-learning gradient-descent

Aug 16 at 9:03 Community♦ 1

0

votes

0

answers

64

views

A problem with back-propagation equation

machine-learning neural-networks backpropagation

Sep 30 '16 at 14:09 qed 1,878

0

votes

1

answer

237

views

Generalization of Newton-Raphson method for maximization of log-likelihood?

regression generalized-linear-model optimization

Aug 5 '14 at 4:08 Andrew M 2,419

Stack Exchange Network

current community

your communities

more stack exchange communities

Next privilege

Next badge

32 Questions

How to derive variance-covariance matrix of coefficients in linear regression

Comparing two models using anova() function in R

Distribution of ratio between two independent uniform random variables

Why must an estimator be independent from the parameter?

How to derive errors in neural network with the backpropagation algorithm?

Correlation significant in each group but non-significant over all?

Invariance property of maximum likelihood estimator?

Relation of slopes of predictors when they are correlated in linear regression

What kind of statistical method do I need for comparing element concentrations?

Approximation of explained variance

What algorithms are available for logistic regression?

How to calculate p values in logistic regression with gradient descent algorithm

Deviance for a Normal linear model

Power analysis of linear regression when one of the causal variables is missing

Hidden extrapolations in linear regression

Does the normal probability plot systematically underestimate the mean?

Linear regression: b1 has the minimum variance among all unbiased linear estimators of beta1

Simulate a multivariable linear model with fixed $R^2$

Residuals all zero in linear regression, what is wrong here?

Take the residual of a logistic regression model and use it as a response variable in another model

Distribution of correlation coefficient between two discrete random variables and their collapsed form

Power of simple linear regression when the independent variable is correlated with the true causal variable

Meta-analysis using known t statistics and standard errors

decision boundary of support vector machine when data is not linearly separable

Are these descriptions of batch gradient descent algorithm conflicting each other?

What is wrong with this implementation of logistic regression (using iterative reweighted least squares)?

Approximation of explained variance [duplicate]

How to make stochastic gradient descent algorithm converge to the optimum?

A problem with back-propagation equation

Generalization of Newton-Raphson method for maximization of log-likelihood?