List questions from gaussian

Published on 10 Jun 2020 - 9:07

65

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Need help with proving that $E[x_n, x_m] = \mu\mu^T +I_{nm}Σ$

Published on 10 Jun 2020 - 16:22

30

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Is a function of two independent GMMs still GMM?

Published on 11 Jun 2020 - 0:07

428

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maximum likelihood and mse(mean square error)

Published on 11 Jun 2020 - 5:06

161

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Wick power of standard normal random variable equals Hermite polynomial.

Published on 11 Jun 2020 - 10:32

120

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Multiple Ito integral viewed as an isometry in a (symmetric) tensor product space.

Published on 19 Jun 2020 - 12:26

68

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calculating $\lim_{n\to\infty}\frac{1}{n}\sum_{i=-\frac{nf}{2}}^{\frac{nf}{2}}e^{-(\frac{1}{n^2}+\alpha)i^2}$

Published on 19 Jun 2020 - 19:06

408

Views

Conditional distribution of two dependent gaussian random variables

Published on 22 Jun 2020 - 8:35

89

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Difference between Gaussian Blur and Scale Space Representation

Published on 23 Jun 2020 - 0:42

270

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$2D$ Gaussian Density Reducing to $1D$ Case as Correlation Approaches $1$

Published on 26 Jun 2020 - 0:40

263

Views

Compute $Var(\sin(X))$ when X is normally distributed

Published on 26 Jun 2020 - 9:55

234

Views

On Cameron-Martin space definition.

Published on 02 Jul 2020 - 9:15

40

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Using Gaussian Kernel to Define Distance

Published on 03 Jul 2020 - 20:09

42

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approximation of a Gaussian Summation

Published on 04 Jul 2020 - 10:11

484

Views

Probability distribution of sum of IID gaussian random variables

Published on 04 Jul 2020 - 23:11

List Question

what's the meaning of ordinates of a Gaussian distribution?

Need help with proving that $E[x_n, x_m] = \mu\mu^T +I_{nm}Σ$

Is a function of two independent GMMs still GMM?

maximum likelihood and mse(mean square error)

Wick power of standard normal random variable equals Hermite polynomial.

Multiple Ito integral viewed as an isometry in a (symmetric) tensor product space.

calculating $\lim_{n\to\infty}\frac{1}{n}\sum_{i=-\frac{nf}{2}}^{\frac{nf}{2}}e^{-(\frac{1}{n^2}+\alpha)i^2}$

Conditional distribution of two dependent gaussian random variables

Difference between Gaussian Blur and Scale Space Representation

$2D$ Gaussian Density Reducing to $1D$ Case as Correlation Approaches $1$

Compute $Var(\sin(X))$ when X is normally distributed

On Cameron-Martin space definition.

Using Gaussian Kernel to Define Distance

approximation of a Gaussian Summation

Probability distribution of sum of IID gaussian random variables

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