List questions from normal-distribution

Published on 12 Apr 2026 - 21:19

52

Views

How to judge the Gaussian vector?

Published on 08 Apr 2026 - 21:36

42

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In Gaussian processes what is the difference between the marginal likelihood and the predictive likelihood on the training set?

Published on 14 Apr 2026 - 13:32

65

Views

Distribution of distance between eigenvalues for GOE when $n=2$

Published on 14 Apr 2026 - 19:51

17

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meaning of these symbols of distribution

Published on 16 Apr 2026 - 5:05

166

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Why is $x_i$ not a random variable in simple linear regression

Published on 13 Apr 2026 - 1:39

52

Views

Pivotal Quantity for Normal Distribution

Published on 14 Apr 2026 - 6:20

19

Views

Is a Gaussian vector still a Gaussian vector when it is obtained by a linear transformation of dimension uplift?

Published on 14 Apr 2026 - 10:53

34

Views

Approximations, or bounds for $\mathbb{E}\left[ \|X\|^{-2} \right]$ and $\mathbb{E}\left[\|X\|^{-1} \right]$, $X_i \sim\mathcal{N}(\mu_i, \sigma_i)$

Published on 17 Apr 2026 - 8:49

19

Views

Name of distribution with density normal times polynomial (polynormal?)

Published on 13 Apr 2026 - 22:04

136

Views

How to model the probability function in a “weighted” sum of conditional means?

Published on 11 Apr 2026 - 17:24

54

Views

Expected value of multivariate normal with single integration

Published on 10 Apr 2026 - 17:50

210

Views

Doubt about gaussian multivariate distribution.

Published on 09 Apr 2026 - 5:30

25

Views

What’s the intuition for these two random processes being statistically independent?

Published on 14 Apr 2026 - 6:11

134

Views

Fractional Brownian Motion is not a semimartingale

Published on 10 Apr 2026 - 8:34

List Question

Expressing probability

How to judge the Gaussian vector?

In Gaussian processes what is the difference between the marginal likelihood and the predictive likelihood on the training set?

Distribution of distance between eigenvalues for GOE when $n=2$

meaning of these symbols of distribution

Why is $x_i$ not a random variable in simple linear regression

Pivotal Quantity for Normal Distribution

Is a Gaussian vector still a Gaussian vector when it is obtained by a linear transformation of dimension uplift?

Approximations, or bounds for $\mathbb{E}\left[ \|X\|^{-2} \right]$ and $\mathbb{E}\left[\|X\|^{-1} \right]$, $X_i \sim\mathcal{N}(\mu_i, \sigma_i)$

Name of distribution with density normal times polynomial (polynormal?)

How to model the probability function in a “weighted” sum of conditional means?

Expected value of multivariate normal with single integration

Doubt about gaussian multivariate distribution.

What’s the intuition for these two random processes being statistically independent?

Fractional Brownian Motion is not a semimartingale

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