List questions from normal-distribution

Published on 25 Mar 2026 - 18:45

37

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Understanding terminology of Mixtures of Gaussians model

Published on 25 Mar 2026 - 3:21

130

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Variance and covariance matrix

Published on 25 Mar 2026 - 9:31

78

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Finding "covariance matrix"

Published on 25 Mar 2026 - 7:40

48

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Normal approximation $P\left(\sum_{i=1}^{1500} X_{i} \leq -33 or \sum_{i=1}^{1500} X_{i} > 33\right)$

Published on 26 Mar 2026 - 4:09

99

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$\Vert Z\Vert_2^2\overset{\text{d}}{\underset{\text{}}{=}}\sum_{k=1}^d\lambda_kw_k^2,\,$ where $w_k\sim N(0,1)$ i.i.d.

Published on 17 Jun 2018 - 14:27

54

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Deviation in $\sup$-norm of simple fixed design NW-regression estimator

Published on 25 Mar 2026 - 22:04

2.3k

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Approximating a discrete probability distribution with a standard normal distribution

Published on 18 Jun 2018 - 6:08

454

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How can a multivariate normal be derived from a 1D normal using orthogonal matrices?

Published on 18 Jun 2018 - 12:00

69

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On a property of conditional expectation when the random variable is multivariate Normal.

Published on 26 Mar 2026 - 22:52

235

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Prove $\operatorname{Cov}(\overline{X_n}, X_j - \overline{X_n}) = 0$ for independent normally distributed random variables

Published on 25 Mar 2026 - 7:44

109

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What's the probability distribution of the minimum of dependent variables?

Published on 19 Jun 2018 - 8:30

31

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How to deal with this joint variable?

Published on 20 Jun 2018 - 7:55

136

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Subspace of singular multivariate normal distribution

Published on 25 Mar 2026 - 14:19

1.1k

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CDF of minimum of random variable and constant

Published on 21 Jun 2018 - 8:47

List Question

Sequence of normal random variables converging in distribution

Understanding terminology of Mixtures of Gaussians model

Variance and covariance matrix

Finding "covariance matrix"

Normal approximation $P\left(\sum_{i=1}^{1500} X_{i} \leq -33 or \sum_{i=1}^{1500} X_{i} > 33\right)$

$\Vert Z\Vert_2^2\overset{\text{d}}{\underset{\text{}}{=}}\sum_{k=1}^d\lambda_kw_k^2,\,$ where $w_k\sim N(0,1)$ i.i.d.

Deviation in $\sup$-norm of simple fixed design NW-regression estimator

Approximating a discrete probability distribution with a standard normal distribution

How can a multivariate normal be derived from a 1D normal using orthogonal matrices?

On a property of conditional expectation when the random variable is multivariate Normal.

Prove $\operatorname{Cov}(\overline{X_n}, X_j - \overline{X_n}) = 0$ for independent normally distributed random variables

What's the probability distribution of the minimum of dependent variables?

How to deal with this joint variable?

Subspace of singular multivariate normal distribution

CDF of minimum of random variable and constant

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