Question

Convergence in Distribution using Moment Generating Functions

score 134 · Answer 1 · 2026-04-09 16:50:57

134

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Convergence in Distribution using Moment Generating Functions

Published on 09 Apr 2026 - 16:50

score 85 · Answer 2 · 2026-03-25 06:11:20

85

Views

Inequality for Subgaussian Norms and Lipschitz Functions

Published on 25 Mar 2026 - 6:11

score 126 · Answer 3 · 2026-04-09 12:47:04

126

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What is the mutual information between ingredients of a mixture of Gaussians?

Published on 09 Apr 2026 - 12:47

score 53 · Answer 4 · 2026-04-14 04:24:36

53

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If a smooth function $f$ satisfies $\lvert f(x) \rvert \leq \lvert x \rvert$, all its derivatives are integrable with respect to Gaussian measure?

Published on 14 Apr 2026 - 4:24

score 21 · Answer 5 · 2026-04-10 02:20:14

21

Views

Understanding the given expression?

Published on 10 Apr 2026 - 2:20

score 44 · Answer 6 · 2026-04-11 12:18:49

44

Views

Understanding $\operatorname{argmin}$ in the given expression

Published on 11 Apr 2026 - 12:18

score 93 · Answer 7 · 2026-04-10 15:03:12

93

Views

Is anything known about plugging a Normal random variable into the pdf for a different normal?

Published on 10 Apr 2026 - 15:03

score 50 · Answer 8 · 2026-04-14 08:50:58

50

Views

Expectation value of $\theta$ for the bivariate normal distribution in polar coordinates {$r$,$\theta$}

Published on 14 Apr 2026 - 8:50

score 91 · Answer 9 · 2026-04-12 20:15:34

91

Views

Central Limit Theorem with continuously differentiable function.

Published on 12 Apr 2026 - 20:15

score 39 · Answer 10 · 2026-04-11 02:21:26

39

Views

What can be inferred about a population if its distribution is lognormal?

Published on 11 Apr 2026 - 2:21

score 23 · Answer 11 · 2026-03-25 19:12:04

23

Views

What will the distribution of $u^HHH^Hu$ when elements of H follows the complex Gaussian independently and u is the eigenvector such that $\|u\|^2=1$?

Published on 25 Mar 2026 - 19:12

score 36 · Answer 12 · 2026-04-16 16:43:44

36

Views

How to find density function of a 1D combinations of random variables which are defined in normally distributed vector?

Published on 16 Apr 2026 - 16:43

score 36 · Answer 13 · 2026-04-13 12:27:26

36

Views

Rewrite Matrix normal distribution likelihood

Published on 13 Apr 2026 - 12:27

score 58 · Answer 14 · 2026-04-16 16:10:13

58

Views

Deriving the variance from an incomplete normal distribution PDF

Published on 16 Apr 2026 - 16:10

score 20 · Answer 15 · 2026-04-12 22:33:00

20

Views

variable with regime switching is Gaussian

Published on 12 Apr 2026 - 22:33

List Question

Convergence in Distribution using Moment Generating Functions

Inequality for Subgaussian Norms and Lipschitz Functions

What is the mutual information between ingredients of a mixture of Gaussians?

If a smooth function $f$ satisfies $\lvert f(x) \rvert \leq \lvert x \rvert$, all its derivatives are integrable with respect to Gaussian measure?

Understanding the given expression?

Understanding $\operatorname{argmin}$ in the given expression

Is anything known about plugging a Normal random variable into the pdf for a different normal?

Expectation value of $\theta$ for the bivariate normal distribution in polar coordinates {$r$,$\theta$}

Central Limit Theorem with continuously differentiable function.

What can be inferred about a population if its distribution is lognormal?

What will the distribution of $u^HHH^Hu$ when elements of H follows the complex Gaussian independently and u is the eigenvector such that $\|u\|^2=1$?

How to find density function of a 1D combinations of random variables which are defined in normally distributed vector?

Rewrite Matrix normal distribution likelihood

Deriving the variance from an incomplete normal distribution PDF

variable with regime switching is Gaussian

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