Question

Marginal distribution of 4x4 Wishart matrix elements

score 84 · Answer 1 · 2026-03-26 10:59:36

84

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Marginal distribution of 4x4 Wishart matrix elements

Published on 26 Mar 2026 - 10:59

score 61 · Answer 2 · 2020-09-25 11:43:20

61

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Prove that $\operatorname{cov}\left[x - E(x\mid y), E(x\mid y)\right] = 0$

Published on 25 Sep 2020 - 11:43

score 115 · Answer 3 · 2026-03-30 02:04:52

115

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Conditional Covariance is zero in classical linear regression model

Published on 30 Mar 2026 - 2:04

score 41 · Answer 4 · 2026-04-03 04:53:18

41

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Can this ratio of weight vectors be simplified to one line?

Published on 03 Apr 2026 - 4:53

score 493 · Answer 5 · 2026-03-29 16:29:30

493

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Is left and right multiplying a positive semi-definite by a matrix result in a positive semi-definite matrix?

Published on 29 Mar 2026 - 16:29

score 797 · Answer 6 · 2020-10-03 08:38:36

797

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Why, exceptionally, for joint normal random variables does it hold true that $0$ covariance between their components is equivalent to independence?

Published on 03 Oct 2020 - 8:38

score 44 · Answer 7 · 2026-03-31 03:58:16

44

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Tensors: Meaning of the derivative terms in Covariant and Contravariant transformations.

Published on 31 Mar 2026 - 3:58

score 59 · Answer 8 · 2026-04-01 18:47:20

59

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Covariance/correlation coefficient - Where did I go wrong?

Published on 01 Apr 2026 - 18:47

score 78 · Answer 9 · 2020-10-04 09:25:09

78

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Covariance of non linear transformation of two variables

Published on 04 Oct 2020 - 9:25

score 216 · Answer 10 · 2020-10-05 04:11:50

216

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Show that an entirely real, non-negative covariance matrix has a precision matrix with non-positive off-diagonal elements

Published on 05 Oct 2020 - 4:11

score 343 · Answer 11 · 2020-10-06 04:46:09

343

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Is covariance matrix of multivariate normal distribution always positive semi-definite?

Published on 06 Oct 2020 - 4:46

score 22 · Answer 12 · 2020-10-06 05:51:55

22

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Finding whether or not two discrete random variables are uncorrelated

Published on 06 Oct 2020 - 5:51

score 181 · Answer 13 · 2026-04-04 12:05:21

181

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Covariance of sum and maximum

Published on 04 Apr 2026 - 12:05

score 152 · Answer 14 · 2026-03-28 05:22:20

152

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prove that covariance matrix can be expressed as $XCX^\top$ with C is centering matrix

Published on 28 Mar 2026 - 5:22

score 50 · Answer 15 · 2020-10-07 18:20:03

50

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covariance of quadratic form in general

Published on 07 Oct 2020 - 18:20

List Question

Marginal distribution of 4x4 Wishart matrix elements

Prove that $\operatorname{cov}\left[x - E(x\mid y), E(x\mid y)\right] = 0$

Conditional Covariance is zero in classical linear regression model

Can this ratio of weight vectors be simplified to one line?

Is left and right multiplying a positive semi-definite by a matrix result in a positive semi-definite matrix?

Why, exceptionally, for joint normal random variables does it hold true that $0$ covariance between their components is equivalent to independence?

Tensors: Meaning of the derivative terms in Covariant and Contravariant transformations.

Covariance/correlation coefficient - Where did I go wrong?

Covariance of non linear transformation of two variables

Show that an entirely real, non-negative covariance matrix has a precision matrix with non-positive off-diagonal elements

Is covariance matrix of multivariate normal distribution always positive semi-definite?

Finding whether or not two discrete random variables are uncorrelated

Covariance of sum and maximum

prove that covariance matrix can be expressed as $XCX^\top$ with C is centering matrix

covariance of quadratic form in general

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