Question

Existence proof for a random variable $X$ where $\operatorname{E}[X]$ exists, and $\operatorname{E}[X^2]$ doesn't

score 1.6k · Answer 1 · 2016-01-20 10:30:31

1.6k

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Existence proof for a random variable $X$ where $\operatorname{E}[X]$ exists, and $\operatorname{E}[X^2]$ doesn't

Published on 20 Jan 2016 - 10:30

score 312 · Answer 2 · 2016-01-20 21:44:12

312

Views

Computing expectation of brownian motion

Published on 20 Jan 2016 - 21:44

score 222 · Answer 3 · 2016-01-22 00:54:00

222

Views

Creating a tree from a permutation

Published on 22 Jan 2016 - 0:54

score 343 · Answer 4 · 2026-03-28 03:53:00

343

Views

Expectation of the matrix product $Q A (Q A)^h$

Published on 28 Mar 2026 - 3:53

score 62 · Answer 5 · 2016-01-22 19:31:44

62

Views

The correct way to take expectation of a r.v. which isn't finite a.e.

Published on 22 Jan 2016 - 19:31

score 264 · Answer 6 · 2016-01-23 15:55:09

264

Views

Erasing numbers from the front of the row

Published on 23 Jan 2016 - 15:55

score 141 · Answer 7 · 2016-01-23 22:35:10

141

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Since $\mathbb{E}[X]$ is defined as the integral from $0$ to infinity of $S(x)$, what do you do when $-1<x<1$?

Published on 23 Jan 2016 - 22:35

score 59 · Answer 8 · 2016-01-24 12:56:03

59

Views

Compute $ \mathbb{E} [W(t_1)W(t_1 + t_2)W(t_1 + t_2 + t_3)] $ when $W$ is a Brownian motion

Published on 24 Jan 2016 - 12:56

score 249 · Answer 9 · 2016-01-24 14:34:44

249

Views

Expected value over a grid

Published on 24 Jan 2016 - 14:34

score 5.9k · Answer 10 · 2026-03-28 06:16:37

5.9k

Views

What is the expected value of cosine of a multivariate Gaussian?

Published on 28 Mar 2026 - 6:16

score 1.6k · Answer 11 · 2026-02-23 18:43:25

1.6k

Views

Expected number of successes before first failure (Hypergeometric distribution)

Published on 23 Feb 2026 - 18:43

score 320 · Answer 12 · 2016-01-25 11:59:07

320

Views

Finite expectation (variance) in Markov inequality and Chebyshev inequality?

Published on 25 Jan 2016 - 11:59

score 161 · Answer 13 · 2026-04-04 04:04:34

161

Views

The convergence of series of independent random variables

Published on 04 Apr 2026 - 4:04

score 415 · Answer 14 · 2016-01-26 14:45:44

415

Views

How do you show $XY$ has finite expectation?

Published on 26 Jan 2016 - 14:45

score 47 · Answer 15 · 2016-01-27 03:57:22

47

Views

Show the equivalency between the two expected values?

Published on 27 Jan 2016 - 3:57

List Question

Existence proof for a random variable $X$ where $\operatorname{E}[X]$ exists, and $\operatorname{E}[X^2]$ doesn't

Computing expectation of brownian motion

Creating a tree from a permutation

Expectation of the matrix product $Q A (Q A)^h$

The correct way to take expectation of a r.v. which isn't finite a.e.

Erasing numbers from the front of the row

Since $\mathbb{E}[X]$ is defined as the integral from $0$ to infinity of $S(x)$, what do you do when $-1<x<1$?

Compute $ \mathbb{E} [W(t_1)W(t_1 + t_2)W(t_1 + t_2 + t_3)] $ when $W$ is a Brownian motion

Expected value over a grid

What is the expected value of cosine of a multivariate Gaussian?

Expected number of successes before first failure (Hypergeometric distribution)

Finite expectation (variance) in Markov inequality and Chebyshev inequality?

The convergence of series of independent random variables

How do you show $XY$ has finite expectation?

Show the equivalency between the two expected values?

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