Question

how to evaluate the integral with Gaussian function when the upper limit is not infinity and the 'kernel' is not unity but x?

score 138 · Answer 1 · 2021-11-11 18:31:05

138

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how to evaluate the integral with Gaussian function when the upper limit is not infinity and the 'kernel' is not unity but x?

Published on 11 Nov 2021 - 18:31

score 121 · Answer 2 · 2026-02-23 12:04:01

121

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Can we prove a trinomial distribution approaches a Gaussian

Published on 23 Feb 2026 - 12:04

score 57 · Answer 3 · 2021-11-16 02:26:09

57

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Derivation of Gaussian Newton

Published on 16 Nov 2021 - 2:26

score 117 · Answer 4 · 2021-11-17 10:11:33

117

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How does the following show $X(t)$ is not a Gaussian process?

Published on 17 Nov 2021 - 10:11

score 58 · Answer 5 · 2021-11-17 17:35:53

58

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Minimizing the probability of a Guassian random variables to be positive

Published on 17 Nov 2021 - 17:35

score 345 · Answer 6 · 2026-02-23 10:57:54

345

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prove that maximum likelihood estimator for covariance matrix really IS a maximum

Published on 23 Feb 2026 - 10:57

score 337 · Answer 7 · 2021-11-19 01:57:35

337

Views

Gradient of Gaussian Mixture Model (GMM), with respect to mean and probability $a_i$

Published on 19 Nov 2021 - 1:57

score 181 · Answer 8 · 2021-11-19 11:46:31

181

Views

Prokhorov or probability metric and (gaussian) convolution as Lipschitz functional

Published on 19 Nov 2021 - 11:46

score 40 · Answer 9 · 2021-11-19 13:14:34

40

Views

Local Maxima for a Sum of two Gaussian functions

Published on 19 Nov 2021 - 13:14

score 125 · Answer 10 · 2021-11-23 00:11:33

125

Views

Two Gaussian processes with same variances and means but different covariances.

Published on 23 Nov 2021 - 0:11

score 187 · Answer 11 · 2021-11-30 11:50:52

187

Views

SubGaussian vector constructed from subGaussian components

Published on 30 Nov 2021 - 11:50

score 100 · Answer 12 · 2021-11-30 11:59:28

100

Views

Expectation of a Multivariate Random Variable of Standard Gaussian Distribution

Published on 30 Nov 2021 - 11:59

score 895 · Answer 13 · 2021-12-02 02:09:31

895

Views

Eigenvalues of a random Gaussian matrix

Published on 02 Dec 2021 - 2:09

score 71 · Answer 14 · 2021-12-02 20:34:47

71

Views

$\frac{N_1}{\sqrt{N_{1}^{2} + N_2^2}} \perp \frac{N_2}{\sqrt{N_{1}^{2} + N_2^2}}$ where $N_1, N_2 \sim \mathcal{N}(0,1)$ are independent?

Published on 02 Dec 2021 - 20:34

score 295 · Answer 15 · 2021-12-03 08:48:09

295

Views

Negative Log likelihood and Derivative of Gaussian Naive Bayes

Published on 03 Dec 2021 - 8:48

List Question

how to evaluate the integral with Gaussian function when the upper limit is not infinity and the 'kernel' is not unity but x?

Can we prove a trinomial distribution approaches a Gaussian

Derivation of Gaussian Newton

How does the following show $X(t)$ is not a Gaussian process?

Minimizing the probability of a Guassian random variables to be positive

prove that maximum likelihood estimator for covariance matrix really IS a maximum

Gradient of Gaussian Mixture Model (GMM), with respect to mean and probability $a_i$

Prokhorov or probability metric and (gaussian) convolution as Lipschitz functional

Local Maxima for a Sum of two Gaussian functions

Two Gaussian processes with same variances and means but different covariances.

SubGaussian vector constructed from subGaussian components

Expectation of a Multivariate Random Variable of Standard Gaussian Distribution

Eigenvalues of a random Gaussian matrix

$\frac{N_1}{\sqrt{N_{1}^{2} + N_2^2}} \perp \frac{N_2}{\sqrt{N_{1}^{2} + N_2^2}}$ where $N_1, N_2 \sim \mathcal{N}(0,1)$ are independent?

Negative Log likelihood and Derivative of Gaussian Naive Bayes

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