Question

Show the distribution of the minimum of bivariate normal variables

score 519 · Answer 1 · 2017-10-10 16:48:33

519

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Show the distribution of the minimum of bivariate normal variables

Published on 10 Oct 2017 - 16:48

score 327 · Answer 2 · 2017-11-12 05:19:53

327

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Bivariate Transformation for Sum of Random Variables

Published on 12 Nov 2017 - 5:19

score 323 · Answer 3 · 2017-11-30 05:40:12

323

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Finding joint likelihood function for linear regression

Published on 30 Nov 2017 - 5:40

score 190 · Answer 4 · 2017-12-01 03:03:20

190

Views

Conditional joint probabiltiy of a given pair

Published on 01 Dec 2017 - 3:03

score 451 · Answer 5 · 2017-12-04 05:14:55

451

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Find the correlation coefficient $\rho_g$ of $(G(x), H(y))$

Published on 04 Dec 2017 - 5:14

score 100 · Answer 6 · 2017-12-08 03:50:10

100

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Is the of CDF of standard bivariate normal is increasing in ρ (the correlation parameter)? If so , how to prove it?

Published on 08 Dec 2017 - 3:50

score 34 · Answer 7 · 2017-12-09 04:12:52

34

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Define $f(x,y)=\frac{1}{2}(\phi(x,y,\rho)+\phi(x,y,-\rho))$ as a joint distribution

Published on 09 Dec 2017 - 4:12

score 1.5k · Answer 8 · 2017-12-10 20:41:27

1.5k

Views

Definition of Jointly Normal

Published on 10 Dec 2017 - 20:41

score 218 · Answer 9 · 2017-12-15 16:44:23

218

Views

bivariate transformation ends up with only one variable in the joint distribution?

Published on 15 Dec 2017 - 16:44

score 881 · Answer 10 · 2017-12-18 14:32:42

881

Views

On average, how many of the children are taller than both parents

Published on 18 Dec 2017 - 14:32

score 1.4k · Answer 11 · 2017-12-19 00:29:09

1.4k

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If $X_{n} \to X$ and $Y_{n} \to Y$ in probability, then $f(X_{n},Y_{n}) \to f(X,Y)$ in probability for $f$ continuous

Published on 19 Dec 2017 - 0:29

score 446 · Answer 12 · 2017-12-31 10:57:15

446

Views

Bivariate normal distribution , link $\Bbb E(Y\mid X=x)$ and $\Bbb E(X\mid Y=y)$

Published on 31 Dec 2017 - 10:57

score 469 · Answer 13 · 2018-01-07 15:14:28

469

Views

An explanation of the definition of the characteristic function of the bivariate stable distribution

Published on 07 Jan 2018 - 15:14

score 21 · Answer 14 · 2018-01-07 19:11:58

21

Views

How to show X and Y are bi-variate normal in this case?

Published on 07 Jan 2018 - 19:11

score 12.5k · Answer 15 · 2026-03-22 21:59:46

12.5k

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$P(X>0,Y>0)$ for a bivariate normal distribution with correlation $\rho$

Published on 22 Mar 2026 - 21:59

List Question

Show the distribution of the minimum of bivariate normal variables

Bivariate Transformation for Sum of Random Variables

Finding joint likelihood function for linear regression

Conditional joint probabiltiy of a given pair

Find the correlation coefficient $\rho_g$ of $(G(x), H(y))$

Is the of CDF of standard bivariate normal is increasing in ρ (the correlation parameter)? If so , how to prove it?

Define $f(x,y)=\frac{1}{2}(\phi(x,y,\rho)+\phi(x,y,-\rho))$ as a joint distribution

Definition of Jointly Normal

bivariate transformation ends up with only one variable in the joint distribution?

On average, how many of the children are taller than both parents

If $X_{n} \to X$ and $Y_{n} \to Y$ in probability, then $f(X_{n},Y_{n}) \to f(X,Y)$ in probability for $f$ continuous

Bivariate normal distribution , link $\Bbb E(Y\mid X=x)$ and $\Bbb E(X\mid Y=y)$

An explanation of the definition of the characteristic function of the bivariate stable distribution

How to show X and Y are bi-variate normal in this case?

$P(X>0,Y>0)$ for a bivariate normal distribution with correlation $\rho$

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