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Example of "The eigenvalues of data covariance matrix, $\Phi^T\Phi$ measure the curvature of the likelihood function."

score 416 · Answer 1 · 2026-03-25 05:07:02

416

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Example of "The eigenvalues of data covariance matrix, $\Phi^T\Phi$ measure the curvature of the likelihood function."

Published on 25 Mar 2026 - 5:07

score 4.1k · Answer 2 · 2026-03-25 20:59:59

4.1k

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Covariance matrix and projection

Published on 25 Mar 2026 - 20:59

score 54 · Answer 3 · 2026-03-25 19:03:41

54

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truncation degree of decomposed covariance matrix

Published on 25 Mar 2026 - 19:03

score 6.8k · Answer 4 · 2019-03-22 15:37:25

6.8k

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Using Cholesky decomposition to compute covariance matrix determinant

Published on 22 Mar 2019 - 15:37

score 305 · Answer 5 · 2019-03-24 02:46:24

305

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Covariance matrix of uniform distribution in $L^p$ Euclidean ball

Published on 24 Mar 2019 - 2:46

score 2k · Answer 6 · 2019-03-25 04:42:48

2k

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Calculate covariance given correlation, problem with percentages

Published on 25 Mar 2019 - 4:42

score 73 · Answer 7 · 2019-03-25 21:11:46

73

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Given two random vectors, determine the dispersion matrix $Var[\textbf{X}]$.

Published on 25 Mar 2019 - 21:11

score 68 · Answer 8 · 2019-04-02 21:08:28

68

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Show diagonal covariance does not guarantee independence.

Published on 02 Apr 2019 - 21:08

score 984 · Answer 9 · 2019-04-08 00:29:56

984

Views

Is covariance transitive?

Published on 08 Apr 2019 - 0:29

score 137 · Answer 10 · 2019-04-09 10:15:54

137

Views

Null covariance between X and Y: non-linear relationship between them

Published on 09 Apr 2019 - 10:15

score 67 · Answer 11 · 2019-04-13 16:40:46

67

Views

Distribution/Variance of correlated squared normal random variables

Published on 13 Apr 2019 - 16:40

score 585 · Answer 12 · 2019-04-16 13:49:58

585

Views

"Normalized" covariance matrix of a Gaussian random vector

Published on 16 Apr 2019 - 13:49

score 159 · Answer 13 · 2019-04-21 10:53:40

159

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Rank-1 modification of correlation matrix

Published on 21 Apr 2019 - 10:53

score 30 · Answer 14 · 2019-04-23 00:53:04

30

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Efficient matrix inversion after update when the size of the components changes

Published on 23 Apr 2019 - 0:53

score 215 · Answer 15 · 2019-04-28 16:23:03

215

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Expectation of function of random variables

Published on 28 Apr 2019 - 16:23

List Question

Example of "The eigenvalues of data covariance matrix, $\Phi^T\Phi$ measure the curvature of the likelihood function."

Covariance matrix and projection

truncation degree of decomposed covariance matrix

Using Cholesky decomposition to compute covariance matrix determinant

Covariance matrix of uniform distribution in $L^p$ Euclidean ball

Calculate covariance given correlation, problem with percentages

Given two random vectors, determine the dispersion matrix $Var[\textbf{X}]$.

Show diagonal covariance does not guarantee independence.

Is covariance transitive?

Null covariance between X and Y: non-linear relationship between them

Distribution/Variance of correlated squared normal random variables

"Normalized" covariance matrix of a Gaussian random vector

Rank-1 modification of correlation matrix

Efficient matrix inversion after update when the size of the components changes

Expectation of function of random variables

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