Question

What is the sum of $k$ normal random variables where $k$ is sampled from a Poisson distribution?

score 90 · Answer 1 · 2026-03-28 22:28:18

90

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What is the sum of $k$ normal random variables where $k$ is sampled from a Poisson distribution?

Published on 28 Mar 2026 - 22:28

score 49 · Answer 2 · 2026-04-01 15:56:48

49

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Probabilistic quantile of an empiric distribution

Published on 01 Apr 2026 - 15:56

score 183 · Answer 3 · 2020-01-02 14:49:11

183

Views

Find $\mathbb{P}[ U+V \in S, V \in S], $ where $U,V$ are standard normal vectors, $S=\{ x \in \mathbb{R}^k: x_1 \le x_2 \le ... \le x_k \}$

Published on 02 Jan 2020 - 14:49

score 407 · Answer 4 · 2026-04-02 17:13:42

407

Views

Sum of Brownian motion and gaussian process

Published on 02 Apr 2026 - 17:13

score 979 · Answer 5 · 2020-01-03 04:03:29

979

Views

Product of two multivariate normal distribution

Published on 03 Jan 2020 - 4:03

score 96 · Answer 6 · 2026-03-27 17:51:35

96

Views

Normal approximation of binomial distribution involving o-notation

Published on 27 Mar 2026 - 17:51

score 184 · Answer 7 · 2026-03-25 03:21:17

184

Views

Why mathematically can the noise $\epsilon$ of a regression be dropped when computing the density $p(y|x, \theta)$

Published on 25 Mar 2026 - 3:21

score 68 · Answer 8 · 2020-01-03 23:30:10

68

Views

Proof of gaussian process

Published on 03 Jan 2020 - 23:30

score 36 · Answer 9 · 2020-01-04 12:45:30

36

Views

If two random variables have an equal normal distribution, then how to find a cdf of the sum of those variables?

Published on 04 Jan 2020 - 12:45

score 239 · Answer 10 · 2026-03-31 03:32:05

239

Views

Finding an upperbound on the CDF of sum of squared Gaussian random variables around zero

Published on 31 Mar 2026 - 3:32

score 110 · Answer 11 · 2026-04-02 18:39:53

110

Views

$B_t$ has same law of $-B_t$

Published on 02 Apr 2026 - 18:39

score 1.8k · Answer 12 · 2026-04-01 16:29:51

1.8k

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What is $P(B_1 > 0, B_2 > 0)$ , where $B_t$ is a Brownian Motion at time $t$?

Published on 01 Apr 2026 - 16:29

score 67 · Answer 13 · 2020-01-05 14:27:05

67

Views

Probability that arithmetic mean > 5.5 for a normal distribution

Published on 05 Jan 2020 - 14:27

score 59 · Answer 14 · 2026-03-29 19:11:05

59

Views

Is $\max_{s \in [0,1]} B_s = B_1$ where $B_s \sim \mathcal{N}(0,s)$

Published on 29 Mar 2026 - 19:11

score 501 · Answer 15 · 2020-01-05 20:09:45

501

Views

Product of $3$ normal variables

Published on 05 Jan 2020 - 20:09

List Question

What is the sum of $k$ normal random variables where $k$ is sampled from a Poisson distribution?

Probabilistic quantile of an empiric distribution

Find $\mathbb{P}[ U+V \in S, V \in S], $ where $U,V$ are standard normal vectors, $S=\{ x \in \mathbb{R}^k: x_1 \le x_2 \le ... \le x_k \}$

Sum of Brownian motion and gaussian process

Product of two multivariate normal distribution

Normal approximation of binomial distribution involving o-notation

Why mathematically can the noise $\epsilon$ of a regression be dropped when computing the density $p(y|x, \theta)$

Proof of gaussian process

If two random variables have an equal normal distribution, then how to find a cdf of the sum of those variables?

Finding an upperbound on the CDF of sum of squared Gaussian random variables around zero

$B_t$ has same law of $-B_t$

What is $P(B_1 > 0, B_2 > 0)$ , where $B_t$ is a Brownian Motion at time $t$?

Probability that arithmetic mean > 5.5 for a normal distribution

Is $\max_{s \in [0,1]} B_s = B_1$ where $B_s \sim \mathcal{N}(0,s)$

Product of $3$ normal variables

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