Question

Distribution of spheres radii from uniform distribution of volume

score 547 · Answer 1 · 2026-03-26 16:06:26

547

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Distribution of spheres radii from uniform distribution of volume

Published on 26 Mar 2026 - 16:06

score 172 · Answer 2 · 2026-03-25 06:16:35

172

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Probability and Random Graphs

Published on 25 Mar 2026 - 6:16

score 198 · Answer 3 · 2026-03-25 09:39:43

198

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Prove that a Riemann sum (involving Brownian motion) converges in probability to zero

Published on 25 Mar 2026 - 9:39

score 362 · Answer 4 · 2026-03-25 15:57:02

362

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Is this function a characteristic function for some random variable?

Published on 25 Mar 2026 - 15:57

score 101 · Answer 5 · 2018-04-25 19:03:59

101

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Expected value of a function, continous

Published on 25 Apr 2018 - 19:03

score 105 · Answer 6 · 2026-03-25 14:25:18

105

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Let $X,Y$ be independent RVs. If there exists $c \in \mathbb R $ s.t. $P(X+Y=c)=1$, then $X,Y$ are constants

Published on 25 Mar 2026 - 14:25

score 26 · Answer 7 · 2018-04-26 06:08:08

26

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Obtaining the probability based on two iid uniform Variable

Published on 26 Apr 2018 - 6:08

score 3.4k · Answer 8 · 2026-03-25 01:18:08

3.4k

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Show that random variables $X$ and $Y$ are not independent, but nevertheless Cov$[X,Y] = 0$

Published on 25 Mar 2026 - 1:18

score 111 · Answer 9 · 2018-04-26 12:47:44

111

Views

Almost sure convergence via subsequences of subsequences

Published on 26 Apr 2018 - 12:47

score 114 · Answer 10 · 2026-03-24 22:01:56

114

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$|X_n-Y_n|\rightarrow_{a.s.}0 $ and $Y_n\rightarrow_{a.s.}Z $ imply $X_n\rightarrow_{a.s.}Z$

Published on 24 Mar 2026 - 22:01

score 57 · Answer 11 · 2026-03-24 22:07:43

57

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$X_n\rightarrow_{a.s.}Y $ implies $\frac{Z}{X_n}\rightarrow_{a.s.}\frac{Z}{Y} $

Published on 24 Mar 2026 - 22:07

score 237 · Answer 12 · 2026-03-26 10:58:31

237

Views

Not quite exponential moments

Published on 26 Mar 2026 - 10:58

score 429 · Answer 13 · 2026-03-25 01:18:24

429

Views

Distribution function of $ X(\omega):=\frac{1}{\lambda} \ln \frac{1}{1-\omega},$ in Lebesgue measure

Published on 25 Mar 2026 - 1:18

score 49 · Answer 14 · 2026-03-24 22:01:55

49

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Does $X_{n,i}-Y_{n,i} \rightarrow_{a.s.} 0$ imply $\frac{1}{n}\sum_{i=1}^nX_{n,i}- \frac{1}{n}\sum_{i=1}^n Y_{n,i}\rightarrow_{a.s.}0 $

Published on 24 Mar 2026 - 22:01

score 1.7k · Answer 15 · 2018-04-27 21:35:46

1.7k

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How do you approximate continuous distribution with discrete?

Published on 27 Apr 2018 - 21:35

List Question

Distribution of spheres radii from uniform distribution of volume

Probability and Random Graphs

Prove that a Riemann sum (involving Brownian motion) converges in probability to zero

Is this function a characteristic function for some random variable?

Expected value of a function, continous

Let $X,Y$ be independent RVs. If there exists $c \in \mathbb R $ s.t. $P(X+Y=c)=1$, then $X,Y$ are constants

Obtaining the probability based on two iid uniform Variable

Show that random variables $X$ and $Y$ are not independent, but nevertheless Cov$[X,Y] = 0$

Almost sure convergence via subsequences of subsequences

$|X_n-Y_n|\rightarrow_{a.s.}0 $ and $Y_n\rightarrow_{a.s.}Z $ imply $X_n\rightarrow_{a.s.}Z$

$X_n\rightarrow_{a.s.}Y $ implies $\frac{Z}{X_n}\rightarrow_{a.s.}\frac{Z}{Y} $

Not quite exponential moments

Distribution function of $ X(\omega):=\frac{1}{\lambda} \ln \frac{1}{1-\omega},$ in Lebesgue measure

Does $X_{n,i}-Y_{n,i} \rightarrow_{a.s.} 0$ imply $\frac{1}{n}\sum_{i=1}^nX_{n,i}- \frac{1}{n}\sum_{i=1}^n Y_{n,i}\rightarrow_{a.s.}0 $

How do you approximate continuous distribution with discrete?

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