List questions from probability-distributions

Published on 13 Apr 2026 - 22:33

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Example of non continuous random variable with continuous CDF

Published on 12 Apr 2026 - 4:39

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Exponential of Squared Brownian Motion

Published on 11 Apr 2026 - 23:12

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Showing $\sum_{k\ge 0} e^{-an} \frac{(an)^k}{k!}f(\frac{k}{n}) = \Bbb{E}\left(f\left(\frac{X_1+\cdots + X_n}{n}\right)\right)$

Published on 14 May 2026 - 15:56

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Poisson-Binomial distribution approximated by binomial distribution

Published on 17 Apr 2026 - 2:38

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P/1 Actuary Exam Question

Published on 10 Apr 2026 - 12:42

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Transformation of two independent uniform random variables

Published on 11 Apr 2026 - 21:14

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Probability Question: Who's right, me or the book?

Published on 19 Apr 2026 - 3:16

664

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Probability with Uniform Distribution with Multiple Variables

Published on 16 Apr 2026 - 22:38

959

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Probability with Exp distribution, CDF, and multiple variables

Published on 11 Apr 2026 - 16:58

262

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Martingale based on normal PDF evaluated at normalized i.i.d. sums

Published on 16 Apr 2026 - 6:03

81

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The probability that exactly / at-least $k$ numbers are in the correct position

Published on 17 Apr 2026 - 9:09

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What is the reason for the one-half in the normal pdf's gaussian (i.e. : why $\exp(-x^{2}/2)$ instead of $\exp(-x^{2})$ )

Published on 16 Apr 2026 - 15:18

285

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Law and Brownian Bridge

Published on 10 Apr 2026 - 15:48

161

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elementary proof for discrete Kantorovich-Rubinstein theorem?

Published on 14 Apr 2026 - 7:36

List Question

Joint density distribution and Variance

Example of non continuous random variable with continuous CDF

Exponential of Squared Brownian Motion

Showing $\sum_{k\ge 0} e^{-an} \frac{(an)^k}{k!}f(\frac{k}{n}) = \Bbb{E}\left(f\left(\frac{X_1+\cdots + X_n}{n}\right)\right)$

Poisson-Binomial distribution approximated by binomial distribution

P/1 Actuary Exam Question

Transformation of two independent uniform random variables

Probability Question: Who's right, me or the book?

Probability with Uniform Distribution with Multiple Variables

Probability with Exp distribution, CDF, and multiple variables

Martingale based on normal PDF evaluated at normalized i.i.d. sums

The probability that exactly / at-least $k$ numbers are in the correct position

What is the reason for the one-half in the normal pdf's gaussian (i.e. : why $\exp(-x^{2}/2)$ instead of $\exp(-x^{2})$ )

Law and Brownian Bridge

elementary proof for discrete Kantorovich-Rubinstein theorem?

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