Question

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

score 183 · Answer 1 · 2020-08-29 17:23:47

183

Views

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

Published on 29 Aug 2020 - 17:23

score 737 · Answer 2 · 2020-08-31 13:44:17

737

Views

Proving a stochastic process is Gaussian and continuous

Published on 31 Aug 2020 - 13:44

score 133 · Answer 3 · 2020-09-01 11:22:49

133

Views

Modelling spatial data as an orbiting $2d$ Gaussian

Published on 01 Sep 2020 - 11:22

score 49 · Answer 4 · 2020-09-02 11:28:53

49

Views

Positive semidefinite Matrix condition for Off-Diagonals

Published on 02 Sep 2020 - 11:28

score 385 · Answer 5 · 2020-09-02 13:24:58

385

Views

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

Published on 02 Sep 2020 - 13:24

score 293 · Answer 6 · 2020-09-06 03:47:57

293

Views

Fake Brownian motion - not Gaussian

Published on 06 Sep 2020 - 3:47

score 24 · Answer 7 · 2020-09-06 21:19:20

24

Views

Gaussian normalized by local density

Published on 06 Sep 2020 - 21:19

score 66 · Answer 8 · 2020-09-07 11:33:48

66

Views

How to show that a quantity is standard normal?

Published on 07 Sep 2020 - 11:33

score 167 · Answer 9 · 2020-09-08 06:56:27

167

Views

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

Published on 08 Sep 2020 - 6:56

score 29 · Answer 10 · 2020-09-08 13:10:31

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

score 548 · Answer 11 · 2020-09-08 16:52:44

548

Views

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

Published on 08 Sep 2020 - 16:52

score 50 · Answer 12 · 2020-09-09 18:49:10

50

Views

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

Published on 09 Sep 2020 - 18:49

score 147 · Answer 13 · 2020-09-10 12:19:31

147

Views

Find the area of manipulated Gaussian function

Published on 10 Sep 2020 - 12:19

score 197 · Answer 14 · 2020-09-13 19:22:40

197

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 13 Sep 2020 - 19:22

score 33 · Answer 15 · 2020-09-17 08:51:25

33

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 17 Sep 2020 - 8:51

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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