Question

Preserving symmetry and positive semi-definiteness during numerical integration.

score 31 · Answer 1 · 2023-12-04 17:45:40

31

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Preserving symmetry and positive semi-definiteness during numerical integration.

Published on 04 Dec 2023 - 17:45

score 43 · Answer 2 · 2026-03-25 15:52:35

43

Views

Using Orthogonal Decomposition of Bivariate Normally Distributed X,Y Reveals Different Result Than Calculating Variance Directly

Published on 25 Mar 2026 - 15:52

score 27 · Answer 3 · 2023-12-10 20:34:52

27

Views

Partial derivative of differential form

Published on 10 Dec 2023 - 20:34

score 87 · Answer 4 · 2023-12-13 15:57:53

87

Views

How do we solve for the $n\times n$ variance - covariance matrix?

Published on 13 Dec 2023 - 15:57

score 43 · Answer 5 · 2023-12-14 10:35:06

43

Views

If a transformation of a random variable preserves its mean and variance, can it change the covariance with another random variable?

Published on 14 Dec 2023 - 10:35

score 109 · Answer 6 · 2026-04-01 04:20:25

109

Views

Covariance of random variable and sum of random variables

Published on 01 Apr 2026 - 4:20

score 19 · Answer 7 · 2026-03-30 00:04:47

19

Views

Calculation of $\sigma_{\text{diff}}$ gives a complex number, indicating a potential error in variance computation

Published on 30 Mar 2026 - 0:04

score 52 · Answer 8 · 2026-03-30 15:36:21

52

Views

In the perspective of tensors, are the matrices in linear transformations and quadratic forms fundamentally different?

Published on 30 Mar 2026 - 15:36

score 299 · Answer 9 · 2023-12-25 12:58:43

299

Views

Finding $\text{cov}(X,Z) $ given $\text{cov}(X,Y) = 0.1$ and $\text{cov}(Y,Z) = 0.8$

Published on 25 Dec 2023 - 12:58

score 77 · Answer 10 · 2026-03-28 06:59:57

77

Views

Derivation of $SSE =S_{yy} - S_{xy}^2/S_{xx}$

Published on 28 Mar 2026 - 6:59

score 57 · Answer 11 · 2024-01-01 10:06:00

57

Views

Square Root of Sample Covariance Matrix, the Component-Wise Formulation of

Published on 01 Jan 2024 - 10:06

score 187 · Answer 12 · 2026-03-31 13:47:07

187

Views

How to implement the following problem in Matrix form? (Linear Algebra and equations on Matrix form)

Published on 31 Mar 2026 - 13:47

score 62 · Answer 13 · 2024-01-04 19:06:28

62

Views

How to take the variance of a second order expansion? $\text{Var}\left[aX+bY+cXY+mX^2+nY^2\right]$

Published on 04 Jan 2024 - 19:06

score 68 · Answer 14 · 2024-01-05 16:35:39

68

Views

Upper bound for mean of squared variable

Published on 05 Jan 2024 - 16:35

score 69 · Answer 15 · 2024-01-09 13:03:26

69

Views

Variance of unspecified product distribution

Published on 09 Jan 2024 - 13:03

List Question

Preserving symmetry and positive semi-definiteness during numerical integration.

Using Orthogonal Decomposition of Bivariate Normally Distributed X,Y Reveals Different Result Than Calculating Variance Directly

Partial derivative of differential form

How do we solve for the $n\times n$ variance - covariance matrix?

If a transformation of a random variable preserves its mean and variance, can it change the covariance with another random variable?

Covariance of random variable and sum of random variables

Calculation of $\sigma_{\text{diff}}$ gives a complex number, indicating a potential error in variance computation

In the perspective of tensors, are the matrices in linear transformations and quadratic forms fundamentally different?

Finding $\text{cov}(X,Z) $ given $\text{cov}(X,Y) = 0.1$ and $\text{cov}(Y,Z) = 0.8$

Derivation of $SSE =S_{yy} - S_{xy}^2/S_{xx}$

Square Root of Sample Covariance Matrix, the Component-Wise Formulation of

How to implement the following problem in Matrix form? (Linear Algebra and equations on Matrix form)

How to take the variance of a second order expansion? $\text{Var}\left[aX+bY+cXY+mX^2+nY^2\right]$

Upper bound for mean of squared variable

Variance of unspecified product distribution

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