Question

Does $A^TA$ always result in a square matrix?

score 1.2k · Answer 1 · 2026-03-25 04:37:40

1.2k

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Does $A^TA$ always result in a square matrix?

Published on 25 Mar 2026 - 4:37

score 74 · Answer 2 · 2026-03-25 05:06:40

74

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What parameter is necessary for the AIC criterion applied to linear regression models?

Published on 25 Mar 2026 - 5:06

score 67 · Answer 3 · 2026-02-23 04:36:13

67

Views

Restricted Weighted Linear Regression in R

Published on 23 Feb 2026 - 4:36

score 276 · Answer 4 · 2019-06-13 10:44:40

276

Views

Proving almost sure convergence of linear regression coefficients

Published on 13 Jun 2019 - 10:44

score 99 · Answer 5 · 2019-06-14 23:17:20

99

Views

Proof for the asymptotic correlation coefficient $\lim_{x\to\infty} \rho_{{\hat{\beta_0}},{\hat{\beta_1}}} = -\frac{\sqrt{3}}{2}$

Published on 14 Jun 2019 - 23:17

score 29 · Answer 6 · 2019-06-15 10:09:15

29

Views

How do I remove points to subtract the $b$ term in a linear regression fit?

Published on 15 Jun 2019 - 10:09

score 391 · Answer 7 · 2019-06-17 14:13:24

391

Views

Using RSS as loss function for linear regression does not work

Published on 17 Jun 2019 - 14:13

score 64 · Answer 8 · 2019-06-18 11:40:11

64

Views

Looking for a Regression Method with way to enforce a reflection/ flip invariance for input

Published on 18 Jun 2019 - 11:40

score 102 · Answer 9 · 2019-06-20 15:14:26

102

Views

Why do we use dummy coding and not binary coding in linear regression?

Published on 20 Jun 2019 - 15:14

score 96 · Answer 10 · 2026-03-25 17:38:24

96

Views

Convergence speed of discrete approximation

Published on 25 Mar 2026 - 17:38

score 620 · Answer 11 · 2026-03-25 21:46:15

620

Views

Covariance matrix in the normal equation

Published on 25 Mar 2026 - 21:46

score 113 · Answer 12 · 2026-03-25 13:32:38

113

Views

Which is better: Least Squares Regression or some Unknown Method I found my coworker using?

Published on 25 Mar 2026 - 13:32

score 44 · Answer 13 · 2026-03-26 04:53:19

44

Views

Why can't I calculate the $R^2$ in some regression models if I use the method of maximum likelihood estimation?

Published on 26 Mar 2026 - 4:53

score 28 · Answer 14 · 2019-07-10 18:57:51

28

Views

Solving (apparently convex under constraints) nonlinear system of equations - Modified linear regression

Published on 10 Jul 2019 - 18:57

score 82 · Answer 15 · 2019-07-11 13:58:31

82

Views

Approximation of two segmented linear regression

Published on 11 Jul 2019 - 13:58

List Question

Does $A^TA$ always result in a square matrix?

What parameter is necessary for the AIC criterion applied to linear regression models?

Restricted Weighted Linear Regression in R

Proving almost sure convergence of linear regression coefficients

Proof for the asymptotic correlation coefficient $\lim_{x\to\infty} \rho_{{\hat{\beta_0}},{\hat{\beta_1}}} = -\frac{\sqrt{3}}{2}$

How do I remove points to subtract the $b$ term in a linear regression fit?

Using RSS as loss function for linear regression does not work

Looking for a Regression Method with way to enforce a reflection/ flip invariance for input

Why do we use dummy coding and not binary coding in linear regression?

Convergence speed of discrete approximation

Covariance matrix in the normal equation

Which is better: Least Squares Regression or some Unknown Method I found my coworker using?

Why can't I calculate the $R^2$ in some regression models if I use the method of maximum likelihood estimation?

Solving (apparently convex under constraints) nonlinear system of equations - Modified linear regression

Approximation of two segmented linear regression

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