List questions from gaussian

Published on 24 Nov 2020 - 5:36

104

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Simplify $\mathbb{E}\left[ -\log \left( \frac{1}{\sigma \sqrt{2 \pi}} e^{-\frac{1}{2}\left(\frac{z-\mu}{\sigma}\right)^{2}} \right) \right]$

Published on 24 Nov 2020 - 8:05

4.6k

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Looking for a function that approximates a parabola

Published on 26 Nov 2020 - 3:55

82

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Integral calculations with exponentials ($\int_{-\infty}^{+\infty}e^{ax^2+bx+c-1}$)

Published on 26 Nov 2020 - 19:59

252

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Finding the points which have equal area under the curve for Gausian distribution?

Published on 28 Nov 2020 - 17:41

20

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Calculating the number of excursions in a Gaussian distribution

Published on 29 Nov 2020 - 1:22

230

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Confusion about Jointly Gaussian

Published on 30 Nov 2020 - 1:54

40

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Select the necessarily true statements involving conditional expectation and the joint Gaussian distribution of $X$ and $Y$

Published on 01 Dec 2020 - 12:50

20

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Show normality of a process.

Published on 02 Dec 2020 - 9:22

192

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Gaussian convolution

Published on 02 Dec 2020 - 13:56

475

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Getting specified correlation matrix from i.i.d. zero mean Gaussian random variables

Published on 02 Dec 2020 - 15:31

38

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Joint distribution of Gaussians after inner products

Published on 04 Dec 2020 - 23:38

926

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Product of marginal Gaussian and conditional Gaussian

Published on 09 Dec 2020 - 18:49

76

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Normalized vector formed from correlated Gaussians

Published on 10 Dec 2020 - 15:38

50

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What does the graph of $N(\mu, +\infty)$ density look like?

Published on 10 Dec 2020 - 18:51

List Question

Derivation of the Entropy of the Johnson-SU distribution

Simplify $\mathbb{E}\left[ -\log \left( \frac{1}{\sigma \sqrt{2 \pi}} e^{-\frac{1}{2}\left(\frac{z-\mu}{\sigma}\right)^{2}} \right) \right]$

Looking for a function that approximates a parabola

Integral calculations with exponentials ($\int_{-\infty}^{+\infty}e^{ax^2+bx+c-1}$)

Finding the points which have equal area under the curve for Gausian distribution?

Calculating the number of excursions in a Gaussian distribution

Confusion about Jointly Gaussian

Select the necessarily true statements involving conditional expectation and the joint Gaussian distribution of $X$ and $Y$

Show normality of a process.

Gaussian convolution

Getting specified correlation matrix from i.i.d. zero mean Gaussian random variables

Joint distribution of Gaussians after inner products

Product of marginal Gaussian and conditional Gaussian

Normalized vector formed from correlated Gaussians

What does the graph of $N(\mu, +\infty)$ density look like?

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