Question

Find conditional Expectation of $E\left[e^{X} | \; (Y, Z) \right]$.

score 127 · Answer 1 · 2026-04-02 11:13:50

127

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Find conditional Expectation of $E\left[e^{X} | \; (Y, Z) \right]$.

Published on 02 Apr 2026 - 11:13

score 46 · Answer 2 · 2020-04-14 03:02:06

46

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Converting a degenerate representation of Gaussian to a non-degenerate representation

Published on 14 Apr 2020 - 3:02

score 93 · Answer 3 · 2026-03-29 20:51:52

93

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let $Y$ and $Z$ be two normal random independent variables. prove that: $Z$ and $\rho \frac{\sigma_X }{\sigma_Y } \cdot Y $ are also independent.

Published on 29 Mar 2026 - 20:51

score 1k · Answer 4 · 2026-03-26 22:15:03

1k

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Weak convergence of a sequence of gaussian random vector

Published on 26 Mar 2026 - 22:15

score 257 · Answer 5 · 2020-04-14 17:58:26

257

Views

If $(X,Y)$ is a Gaussian random vector, is also $(X,Y,1)$ a Gaussian random vector?

Published on 14 Apr 2020 - 17:58

score 248 · Answer 6 · 2026-03-28 01:08:36

248

Views

Can the covariance of X and Y be larger than the variance of X?

Published on 28 Mar 2026 - 1:08

score 507 · Answer 7 · 2020-04-14 23:21:49

507

Views

Maxwell's distribution using Box-Muller transform

Published on 14 Apr 2020 - 23:21

score 247 · Answer 8 · 2020-04-15 04:20:53

247

Views

Probability that population mean is less than $3$ given sample $\text{{1, 3, 3, 5, 9}}$

Published on 15 Apr 2020 - 4:20

score 28 · Answer 9 · 2020-04-15 08:06:24

28

Views

How to generate an expected normal data to measure normality of an observed data?

Published on 15 Apr 2020 - 8:06

score 43 · Answer 10 · 2020-04-15 11:53:16

43

Views

Transformation(s) on a random vector to make its co-ordinates independent?

Published on 15 Apr 2020 - 11:53

score 1.7k · Answer 11 · 2026-04-02 12:58:10

1.7k

Views

Conditional PDF of Normal Distribution $X \sim N(0,1)$ , given $X>0$

Published on 02 Apr 2026 - 12:58

score 38 · Answer 12 · 2026-04-05 17:18:17

38

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let $Y_1 = aX+b+N_1 $ s.t. $ X, N_1$ are random normal Gaussian independent variables, find: $ F_{X,Y_1} ,F_{X|Y_1}$

Published on 05 Apr 2026 - 17:18

score 343 · Answer 13 · 2026-03-28 07:51:36

343

Views

MAP Estimation of Covariance Matrix of a Multivariate Normal Distribution

Published on 28 Mar 2026 - 7:51

score 198 · Answer 14 · 2026-03-28 10:40:39

198

Views

How to Calculate Statistics for Open-Ended Frequency Distribution

Published on 28 Mar 2026 - 10:40

score 1.1k · Answer 15 · 2020-04-17 15:02:25

1.1k

Views

How does the Z-transformation work?

Published on 17 Apr 2020 - 15:02

List Question

Find conditional Expectation of $E\left[e^{X} | \; (Y, Z) \right]$.

Converting a degenerate representation of Gaussian to a non-degenerate representation

let $Y$ and $Z$ be two normal random independent variables. prove that: $Z$ and $\rho \frac{\sigma_X }{\sigma_Y } \cdot Y $ are also independent.

Weak convergence of a sequence of gaussian random vector

If $(X,Y)$ is a Gaussian random vector, is also $(X,Y,1)$ a Gaussian random vector?

Can the covariance of X and Y be larger than the variance of X?

Maxwell's distribution using Box-Muller transform

Probability that population mean is less than $3$ given sample $\text{{1, 3, 3, 5, 9}}$

How to generate an expected normal data to measure normality of an observed data?

Transformation(s) on a random vector to make its co-ordinates independent?

Conditional PDF of Normal Distribution $X \sim N(0,1)$ , given $X>0$

let $Y_1 = aX+b+N_1 $ s.t. $ X, N_1$ are random normal Gaussian independent variables, find: $ F_{X,Y_1} ,F_{X|Y_1}$

MAP Estimation of Covariance Matrix of a Multivariate Normal Distribution

How to Calculate Statistics for Open-Ended Frequency Distribution

How does the Z-transformation work?

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