Question

why is the PDF of the sum of two continuous random variables the convolution of the PDF's?

score 13.6k · Answer 1 · 2026-03-25 08:01:11

13.6k

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why is the PDF of the sum of two continuous random variables the convolution of the PDF's?

Published on 25 Mar 2026 - 8:01

score 190 · Answer 2 · 2018-01-30 18:26:57

190

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Is a compact set of distributions still compact if we fix the marginal distribution?

Published on 30 Jan 2018 - 18:26

score 77 · Answer 3 · 2018-01-30 18:50:25

77

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is the sum of two poisson distribution independent from the others variables

Published on 30 Jan 2018 - 18:50

score 2.8k · Answer 4 · 2026-03-22 18:47:59

2.8k

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Show that $\operatorname{Cov}(X,X^2)=0$ if X is a continuous random variable with symmetric distribution around the origin

Published on 22 Mar 2026 - 18:47

score 17 · Answer 5 · 2026-03-17 00:57:53

17

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Biased coin probability when p can lie in a range of values

Published on 17 Mar 2026 - 0:57

score 73 · Answer 6 · 2026-03-22 13:34:53

73

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How to prove that $P(X = x-1) \cdot P(X=x+1) \le (P(X=x))^2$ for a Poisson distribution

Published on 22 Mar 2026 - 13:34

score 422 · Answer 7 · 2026-03-19 20:40:52

422

Views

Conditional Probability with Random Walk

Published on 19 Mar 2026 - 20:40

score 43 · Answer 8 · 2018-01-31 10:08:01

43

Views

Defining distribution function and calculating probabilty of a specific event

Published on 31 Jan 2018 - 10:08

score 55 · Answer 9 · 2018-01-31 10:20:37

55

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calculation of Probabilities with two normal distributions

Published on 31 Jan 2018 - 10:20

score 956 · Answer 10 · 2026-03-24 20:32:01

956

Views

How to show that $ln \ Y$ of uniform distributed random variable is exponential distributed

Published on 24 Mar 2026 - 20:32

score 1.1k · Answer 11 · 2018-01-31 13:24:56

1.1k

Views

How do I solve the questions below using the Poisson distribution with the variable $t$?

Published on 31 Jan 2018 - 13:24

score 888 · Answer 12 · 2026-03-25 02:57:47

888

Views

Improper Uniform Distribution on $\mathbb{R}$

Published on 25 Mar 2026 - 2:57

score 36 · Answer 13 · 2018-01-31 14:13:33

36

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$X$ and $Y$ are Random Variables such that $f(x,y)=\frac{1}{2} e^{-x} \text{if} \ |y| \leq x$ , $\ x>0$

Published on 31 Jan 2018 - 14:13

score 29 · Answer 14 · 2018-01-31 14:22:17

29

Views

Distribution function constraints from moments?

Published on 31 Jan 2018 - 14:22

score 69 · Answer 15 · 2018-01-31 14:57:41

69

Views

Problem with median and even functions

Published on 31 Jan 2018 - 14:57

List Question

why is the PDF of the sum of two continuous random variables the convolution of the PDF's?

Is a compact set of distributions still compact if we fix the marginal distribution?

is the sum of two poisson distribution independent from the others variables

Show that $\operatorname{Cov}(X,X^2)=0$ if X is a continuous random variable with symmetric distribution around the origin

Biased coin probability when p can lie in a range of values

How to prove that $P(X = x-1) \cdot P(X=x+1) \le (P(X=x))^2$ for a Poisson distribution

Conditional Probability with Random Walk

Defining distribution function and calculating probabilty of a specific event

calculation of Probabilities with two normal distributions

How to show that $ln \ Y$ of uniform distributed random variable is exponential distributed

How do I solve the questions below using the Poisson distribution with the variable $t$?

Improper Uniform Distribution on $\mathbb{R}$

$X$ and $Y$ are Random Variables such that $f(x,y)=\frac{1}{2} e^{-x} \text{if} \ |y| \leq x$ , $\ x>0$

Distribution function constraints from moments?

Problem with median and even functions

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