Question

Variance of sum of two dependent Binomial random variables

score 651 · Answer 1 · 2026-04-04 21:17:45

651

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Variance of sum of two dependent Binomial random variables

Published on 04 Apr 2026 - 21:17

score 527 · Answer 2 · 2021-01-08 03:13:23

527

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Law of total covariance for random vectors

Published on 08 Jan 2021 - 3:13

score 50 · Answer 3 · 2021-01-09 07:42:11

50

Views

Formula wrong for calculating covariance matrix

Published on 09 Jan 2021 - 7:42

score 38 · Answer 4 · 2021-01-09 13:45:09

38

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how to derive $\tilde{g}_{ij}$ from a given surface $x$

Published on 09 Jan 2021 - 13:45

score 40 · Answer 5 · 2021-01-10 20:04:27

40

Views

Show that $\text{Cov}(\mathbf{Y})=\mathbb{E}[(\mathbf{Y}-\mathbb{E}\mathbf{Y})\mathbf{Y}^T]$

Published on 10 Jan 2021 - 20:04

score 26 · Answer 6 · 2021-01-12 14:38:46

26

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Bernoulli process as indicator of excursion sets

Published on 12 Jan 2021 - 14:38

score 2.8k · Answer 7 · 2021-01-14 00:09:58

2.8k

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How can we derive the dot product from the covariance of two random vectors?

Published on 14 Jan 2021 - 0:09

score 226 · Answer 8 · 2021-01-14 03:06:44

226

Views

Covariance as double summation over all probability indices and other times as a single summation over joint probability indices.

Published on 14 Jan 2021 - 3:06

score 217 · Answer 9 · 2021-01-15 21:30:18

217

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If $X$ has mean $\mu_x$, variance $\sigma_x^2$, and $Y$ has mean $\mu_y$, variance $\sigma_y^2$, what are the mean and cov of $(X, Y)$?

Published on 15 Jan 2021 - 21:30

score 259 · Answer 10 · 2021-01-16 01:46:24

259

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Prove $ |\frac{\text{Cov}\left(X,Y\right)}{\sqrt{\text{Var}[X]\text{Var[Y]}}}|=1\iff\exists a,b\in\mathbb{R}:(\mathbb{P}[Y=aX+b]=1) $

Published on 16 Jan 2021 - 1:46

score 50 · Answer 11 · 2021-01-17 17:52:55

50

Views

commutativity of the operator

Published on 17 Jan 2021 - 17:52

score 76 · Answer 12 · 2021-01-17 23:22:27

76

Views

Show that $\operatorname {cov}(\hat \theta_i, x_i)=E[\partial\hat \theta_i/\partial x_i]$

Published on 17 Jan 2021 - 23:22

score 235 · Answer 13 · 2026-04-03 08:03:09

235

Views

How to define a noninformative prior for the covariance matrix

Published on 03 Apr 2026 - 8:03

score 959 · Answer 14 · 2026-04-05 02:20:40

959

Views

Variance and covariance of a circle's coordinates

Published on 05 Apr 2026 - 2:20

score 109 · Answer 15 · 2026-04-02 01:22:52

109

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covariance of dependent random variables

Published on 02 Apr 2026 - 1:22

List Question

Variance of sum of two dependent Binomial random variables

Law of total covariance for random vectors

Formula wrong for calculating covariance matrix

how to derive $\tilde{g}_{ij}$ from a given surface $x$

Show that $\text{Cov}(\mathbf{Y})=\mathbb{E}[(\mathbf{Y}-\mathbb{E}\mathbf{Y})\mathbf{Y}^T]$

Bernoulli process as indicator of excursion sets

How can we derive the dot product from the covariance of two random vectors?

Covariance as double summation over all probability indices and other times as a single summation over joint probability indices.

If $X$ has mean $\mu_x$, variance $\sigma_x^2$, and $Y$ has mean $\mu_y$, variance $\sigma_y^2$, what are the mean and cov of $(X, Y)$?

Prove $ |\frac{\text{Cov}\left(X,Y\right)}{\sqrt{\text{Var}[X]\text{Var[Y]}}}|=1\iff\exists a,b\in\mathbb{R}:(\mathbb{P}[Y=aX+b]=1) $

commutativity of the operator

Show that $\operatorname {cov}(\hat \theta_i, x_i)=E[\partial\hat \theta_i/\partial x_i]$

How to define a noninformative prior for the covariance matrix

Variance and covariance of a circle's coordinates

covariance of dependent random variables

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