Question

Joint PDF (probability density functions) of two correlated (non-independent) random varaiables

score 216 · Answer 1 · 2020-02-11 11:07:26

216

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Joint PDF (probability density functions) of two correlated (non-independent) random varaiables

Published on 11 Feb 2020 - 11:07

score 46 · Answer 2 · 2020-02-12 18:47:51

46

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Coefficient correlation when $f(x,y)=e^{-(x+y)}$ and $x,y>0$

Published on 12 Feb 2020 - 18:47

score 64 · Answer 3 · 2020-02-14 14:10:13

64

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What is the probability that it will last another 2 hours?

Published on 14 Feb 2020 - 14:10

score 138 · Answer 4 · 2026-03-27 01:50:37

138

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Limiting Distribution of a Double Exponential MLE

Published on 27 Mar 2026 - 1:50

score 126 · Answer 5 · 2020-02-16 02:12:26

126

Views

Limits of integration for expectation of absolute value of difference between two exponential variables.

Published on 16 Feb 2020 - 2:12

score 170 · Answer 6 · 2020-02-16 07:05:11

170

Views

Sum of independent random variables following a Homogeneous Poisson Process

Published on 16 Feb 2020 - 7:05

score 232 · Answer 7 · 2020-02-16 20:46:45

232

Views

Find $E[|\frac{X}{Y}|]$ for $X,Y iid \sim Exp(\lambda)$

Published on 16 Feb 2020 - 20:46

score 59 · Answer 8 · 2020-02-16 21:01:03

59

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Find $E(|\sum X_i - \sum Y_j|)$ for$ X_i, Y_j \sim Exp(\lambda)$

Published on 16 Feb 2020 - 21:01

score 25 · Answer 9 · 2020-02-16 21:16:53

25

Views

Is $E[|\sum X_i \sum Y_j|]= \sum E[X_i] \sum E[Y_j]?$ where $X_i,Y_j \sim Exp(\lambda)$ and iid.

Published on 16 Feb 2020 - 21:16

score 64 · Answer 10 · 2020-02-17 14:21:17

64

Views

Let $X,Y$ be exponential r.v, find $E[\frac{X}{Y}]$ using the pdf of $f_{\frac{X}{Y}}(u)$

Published on 17 Feb 2020 - 14:21

score 1.7k · Answer 11 · 2026-03-25 13:54:13

1.7k

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Marginal likelihood and predictive distribution for exponential likelihood with gamma prior

Published on 25 Mar 2026 - 13:54

score 26 · Answer 12 · 2020-02-17 22:11:17

26

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Bounds of integration for $E[\frac{X}{Y}]$. $X,Y$ are exponential r.v. with parameter alpha and beta.

Published on 17 Feb 2020 - 22:11

score 27 · Answer 13 · 2026-03-26 23:09:37

27

Views

Calculating $\mathbb P(X=Y)$ for any continouous distribution or $X,Y \sim$ Negbinomial using symmetry

Published on 26 Mar 2026 - 23:09

score 380 · Answer 14 · 2020-02-24 05:03:14

380

Views

Prove that sum of exponential rv's is also exponential using Laplace transforms

Published on 24 Feb 2020 - 5:03

score 120 · Answer 15 · 2020-02-24 22:06:14

120

Views

Distribution of cumulated intensity for Poisson process

Published on 24 Feb 2020 - 22:06

List Question

Joint PDF (probability density functions) of two correlated (non-independent) random varaiables

Coefficient correlation when $f(x,y)=e^{-(x+y)}$ and $x,y>0$

What is the probability that it will last another 2 hours?

Limiting Distribution of a Double Exponential MLE

Limits of integration for expectation of absolute value of difference between two exponential variables.

Sum of independent random variables following a Homogeneous Poisson Process

Find $E[|\frac{X}{Y}|]$ for $X,Y iid \sim Exp(\lambda)$

Find $E(|\sum X_i - \sum Y_j|)$ for$ X_i, Y_j \sim Exp(\lambda)$

Is $E[|\sum X_i \sum Y_j|]= \sum E[X_i] \sum E[Y_j]?$ where $X_i,Y_j \sim Exp(\lambda)$ and iid.

Let $X,Y$ be exponential r.v, find $E[\frac{X}{Y}]$ using the pdf of $f_{\frac{X}{Y}}(u)$

Marginal likelihood and predictive distribution for exponential likelihood with gamma prior

Bounds of integration for $E[\frac{X}{Y}]$. $X,Y$ are exponential r.v. with parameter alpha and beta.

Calculating $\mathbb P(X=Y)$ for any continouous distribution or $X,Y \sim$ Negbinomial using symmetry

Prove that sum of exponential rv's is also exponential using Laplace transforms

Distribution of cumulated intensity for Poisson process

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