Question

Why is the normal distribution defined exactly the way it is defined?

score 184 · Answer 1 · 2026-02-23 15:05:14

184

Views

Why is the normal distribution defined exactly the way it is defined?

Published on 23 Feb 2026 - 15:05

score 740 · Answer 2 · 2026-04-11 01:09:25

740

Views

Proving a stochastic process is Gaussian and continuous

Published on 11 Apr 2026 - 1:09

score 134 · Answer 3 · 2026-02-23 15:03:09

134

Views

Modelling spatial data as an orbiting $2d$ Gaussian

Published on 23 Feb 2026 - 15:03

score 52 · Answer 4 · 2026-04-09 21:31:28

52

Views

Positive semidefinite Matrix condition for Off-Diagonals

Published on 09 Apr 2026 - 21:31

score 388 · Answer 5 · 2026-04-10 07:56:27

388

Views

Is a Gaussian Processes equivalent to a linear transformation of itself?

Published on 10 Apr 2026 - 7:56

score 296 · Answer 6 · 2026-04-11 00:22:44

296

Views

Fake Brownian motion - not Gaussian

Published on 11 Apr 2026 - 0:22

score 25 · Answer 7 · 2026-02-23 15:02:14

25

Views

Gaussian normalized by local density

Published on 23 Feb 2026 - 15:02

score 67 · Answer 8 · 2026-02-23 15:05:15

67

Views

How to show that a quantity is standard normal?

Published on 23 Feb 2026 - 15:05

score 170 · Answer 9 · 2026-04-09 06:44:28

170

Views

Does a continuous Gaussian process with positive definite covariance function have full support?

Published on 09 Apr 2026 - 6:44

score 30 · Answer 10 · 2026-02-23 15:09:21

On drawing there's standardized normal distribution density diagram. Which formulas express value of area field colored wtih green?

score 549 · Answer 11 · 2026-02-23 15:04:37

549

Views

Wolfram Alpha is giving two different results for the same computation - why?

Published on 23 Feb 2026 - 15:04

score 51 · Answer 12 · 2026-02-23 15:11:07

51

Views

How to prove that an exponent comes outside of the average of an exponential? (central limit theorem moment-generating function proof)

Published on 23 Feb 2026 - 15:11

score 148 · Answer 13 · 2026-02-23 15:06:33

148

Views

Find the area of manipulated Gaussian function

Published on 23 Feb 2026 - 15:06

score 198 · Answer 14 · 2026-02-23 15:09:43

198

Views

Intuitive explanation for $\lim\limits_{n\to\infty}\left(\frac{\left(n!\right)^{2}}{\left(n-x\right)!\left(n+x\right)!}\right)^{n}=e^{-x^2}$

Published on 23 Feb 2026 - 15:09

score 36 · Answer 15 · 2026-04-09 20:28:46

36

Views

Is it possible to determine the mean of a random variable when it is truncated after being drawn from a normal distribution?

Published on 09 Apr 2026 - 20:28

List Question

Why is the normal distribution defined exactly the way it is defined?

Proving a stochastic process is Gaussian and continuous

Modelling spatial data as an orbiting $2d$ Gaussian

Positive semidefinite Matrix condition for Off-Diagonals

Is a Gaussian Processes equivalent to a linear transformation of itself?

Fake Brownian motion - not Gaussian

Gaussian normalized by local density

How to show that a quantity is standard normal?

Does a continuous Gaussian process with positive definite covariance function have full support?

On drawing there's standardized normal distribution density diagram. Which formulas express value of area field colored wtih green?

Wolfram Alpha is giving two different results for the same computation - why?

How to prove that an exponent comes outside of the average of an exponential? (central limit theorem moment-generating function proof)

Find the area of manipulated Gaussian function

Intuitive explanation for $\lim\limits_{n\to\infty}\left(\frac{\left(n!\right)^{2}}{\left(n-x\right)!\left(n+x\right)!}\right)^{n}=e^{-x^2}$

Is it possible to determine the mean of a random variable when it is truncated after being drawn from a normal distribution?

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