Question

Find a measurable function $g:\mathbb{R}\to\mathbb{R}$ s.t. $\mathbb{E}(g(\mathcal{N}(0,1)))=2$

score 42 · Answer 1 · 2026-03-25 13:54:16

42

Views

Find a measurable function $g:\mathbb{R}\to\mathbb{R}$ s.t. $\mathbb{E}(g(\mathcal{N}(0,1)))=2$

Published on 25 Mar 2026 - 13:54

score 35 · Answer 2 · 2019-01-19 15:41:13

35

Views

For $X\sim\mathcal{N}(0,1)$, find measurable functions $g,h$ s.t. $g(X),h(X)$ are uncorrelated

Published on 19 Jan 2019 - 15:41

score 37 · Answer 3 · 2026-02-23 11:39:15

37

Views

How should I calculate mean CI - from raw data or mean values?

Published on 23 Feb 2026 - 11:39

score 1k · Answer 4 · 2019-01-20 09:13:23

1k

Views

How to derive the formula for the expected value for maximum of n normal random variables

Published on 20 Jan 2019 - 9:13

score 526 · Answer 5 · 2026-03-25 17:43:57

526

Views

What is the probability distribution of this AR(1) function?

Published on 25 Mar 2026 - 17:43

score 781 · Answer 6 · 2019-01-20 23:20:28

781

Views

Integral of a standard gaussian distribution

Published on 20 Jan 2019 - 23:20

score 80 · Answer 7 · 2026-03-27 15:07:35

80

Views

Conditional variance when there is uncertainity about the distribution of condition

Published on 27 Mar 2026 - 15:07

score 3k · Answer 8 · 2026-03-25 19:01:23

3k

Views

UMVU for $\sigma ^ p$ normal distribution.

Published on 25 Mar 2026 - 19:01

score 51 · Answer 9 · 2019-01-23 11:04:30

51

Views

Solving Normal Distribution Problem

Published on 23 Jan 2019 - 11:04

score 80 · Answer 10 · 2019-01-23 17:49:45

80

Views

Marginally normally distributed and uncorrelated, but not jointly distributed.

Published on 23 Jan 2019 - 17:49

score 32 · Answer 11 · 2026-03-26 07:55:21

32

Views

T distribution hypothesis testing

Published on 26 Mar 2026 - 7:55

score 149 · Answer 12 · 2026-03-26 12:40:11

149

Views

Integrating a function over a random effect (Normal distribution)

Published on 26 Mar 2026 - 12:40

score 42 · Answer 13 · 2026-03-25 11:10:03

42

Views

Integrating with a non-analytical solution (random effects)

Published on 25 Mar 2026 - 11:10

score 314 · Answer 14 · 2019-01-26 02:05:32

314

Views

X and Y independent and has Normal distribution. Their Joint Distribution is a normal bivariate distribution.

Published on 26 Jan 2019 - 2:05

score 625 · Answer 15 · 2019-01-26 18:23:45

625

Views

expanding the exponential term in the multivariate Gaussian

Published on 26 Jan 2019 - 18:23

List Question

Find a measurable function $g:\mathbb{R}\to\mathbb{R}$ s.t. $\mathbb{E}(g(\mathcal{N}(0,1)))=2$

For $X\sim\mathcal{N}(0,1)$, find measurable functions $g,h$ s.t. $g(X),h(X)$ are uncorrelated

How should I calculate mean CI - from raw data or mean values?

How to derive the formula for the expected value for maximum of n normal random variables

What is the probability distribution of this AR(1) function?

Integral of a standard gaussian distribution

Conditional variance when there is uncertainity about the distribution of condition

UMVU for $\sigma ^ p$ normal distribution.

Solving Normal Distribution Problem

Marginally normally distributed and uncorrelated, but not jointly distributed.

T distribution hypothesis testing

Integrating a function over a random effect (Normal distribution)

Integrating with a non-analytical solution (random effects)

X and Y independent and has Normal distribution. Their Joint Distribution is a normal bivariate distribution.

expanding the exponential term in the multivariate Gaussian

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