Question

How come nonlinear optimization problems need careful choices of initial parameters but neural networks appear to not have this issue?

score 85 · Answer 1 · 2026-03-29 04:10:55

85

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How come nonlinear optimization problems need careful choices of initial parameters but neural networks appear to not have this issue?

Published on 29 Mar 2026 - 4:10

score 157 · Answer 2 · 2026-03-29 05:49:51

157

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Is "Probability Theory" an Inseparable Aspect of Machine Learning?

Published on 29 Mar 2026 - 5:49

score 71 · Answer 3 · 2026-04-06 21:31:53

71

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formula for coefficients of Least Squares Regression Quad?

Published on 06 Apr 2026 - 21:31

score 44 · Answer 4 · 2026-03-31 18:01:32

44

Views

Reducing variance in linear regression

Published on 31 Mar 2026 - 18:01

score 164 · Answer 5 · 2026-04-02 20:28:37

164

Views

Negative correlation between $\hat{\beta}_1$ and $\hat{\beta}_2$

Published on 02 Apr 2026 - 20:28

score 109 · Answer 6 · 2026-02-25 04:31:55

109

Views

How to do regression for this stochastic process?

Published on 25 Feb 2026 - 4:31

score 416 · Answer 7 · 2026-03-30 10:40:47

416

Views

Find the polynomial of fixed degree that minimizes the maximal error on a set of equidistant points

Published on 30 Mar 2026 - 10:40

score 88 · Answer 8 · 2026-03-28 02:04:36

88

Views

calculating weekly occupancy given daily capacity and booking

Published on 28 Mar 2026 - 2:04

score 137 · Answer 9 · 2026-03-26 22:13:37

137

Views

Simple linear regression (sum of residuals and predictor)

Published on 26 Mar 2026 - 22:13

score 93 · Answer 10 · 2022-04-05 16:31:15

93

Views

Are the estimates of the coefficients b0, b1 in the regression model y = b0 + b1x + ε random variables or unknown parameters?

Published on 05 Apr 2022 - 16:31

score 81 · Answer 11 · 2026-03-31 18:03:02

81

Views

Design matrix of a model

Published on 31 Mar 2026 - 18:03

score 38 · Answer 12 · 2022-04-09 14:10:39

38

Views

Why does the distribution of the error term in a regression model matter?

Published on 09 Apr 2022 - 14:10

score 123 · Answer 13 · 2026-03-31 18:01:54

123

Views

Least squares estimation for linear regression model with random design

Published on 31 Mar 2026 - 18:01

score 12 · Answer 14 · 2026-03-31 19:42:59

12

Views

Is it possible that the correlation between $\hat{b}$ and $\hat{c}$ can be negative multiple linear regression?

Published on 31 Mar 2026 - 19:42

score 30 · Answer 15 · 2026-02-23 15:29:31

30

Views

Dependent errors leading to artificially small p values?

Published on 23 Feb 2026 - 15:29

List Question

How come nonlinear optimization problems need careful choices of initial parameters but neural networks appear to not have this issue?

Is "Probability Theory" an Inseparable Aspect of Machine Learning?

formula for coefficients of Least Squares Regression Quad?

Reducing variance in linear regression

Negative correlation between $\hat{\beta}_1$ and $\hat{\beta}_2$

How to do regression for this stochastic process?

Find the polynomial of fixed degree that minimizes the maximal error on a set of equidistant points

calculating weekly occupancy given daily capacity and booking

Simple linear regression (sum of residuals and predictor)

Are the estimates of the coefficients b0, b1 in the regression model y = b0 + b1x + ε random variables or unknown parameters?

Design matrix of a model

Why does the distribution of the error term in a regression model matter?

Least squares estimation for linear regression model with random design

Is it possible that the correlation between $\hat{b}$ and $\hat{c}$ can be negative multiple linear regression?

Dependent errors leading to artificially small p values?

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