Question

If $X$ and $Y$ are Normally distributed with correlation $\rho$, can we say anything about $E[Y \mid X]?$

score 430 · Answer 1 · 2026-03-30 06:50:14

430

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If $X$ and $Y$ are Normally distributed with correlation $\rho$, can we say anything about $E[Y \mid X]?$

Published on 30 Mar 2026 - 6:50

score 969 · Answer 2 · 2015-08-27 14:34:23

969

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Conditional expectation of the maximum of two independent random variables, given one of them

Published on 27 Aug 2015 - 14:34

score 188 · Answer 3 · 2015-08-27 20:36:04

188

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Find $E(X_1X_2 \mid X_2 X_3)$ for i.i.d. symmetric Bernoulli random variables $X_k$

Published on 27 Aug 2015 - 20:36

score 145 · Answer 4 · 2015-08-28 18:26:33

145

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What's the sample space for a conditional expectation?

Published on 28 Aug 2015 - 18:26

score 92 · Answer 5 · 2026-03-31 21:09:28

92

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If $x_i$ is from a random sample is $Var(\bar x \mid x_i)=0$?

Published on 31 Mar 2026 - 21:09

score 382 · Answer 6 · 2015-08-30 17:23:07

382

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Suppose $\xi_1, \xi_2,\ldots$ are i.i.d. random variables with mean $\mu$, variance $\sigma^2$. Form the random sum $S_{N} = \xi_{1}+\cdots+\xi_{N}$.

Published on 30 Aug 2015 - 17:23

score 110 · Answer 7 · 2026-04-05 00:23:03

110

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apply the law of total expectation

Published on 05 Apr 2026 - 0:23

score 105 · Answer 8 · 2015-09-01 00:05:07

105

Views

How to simplify the conditional expectation $E[v_3\mid v_1 < \max\{v_2,v_3\}, v_3=\max\{v_2,v_3\}]$

Published on 01 Sep 2015 - 0:05

score 162 · Answer 9 · 2015-09-02 00:44:36

162

Views

Conditional expectation and Joint distribution

Published on 02 Sep 2015 - 0:44

score 656 · Answer 10 · 2015-09-07 02:09:00

656

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Expected Value of choosing a specific object from n objects

Published on 07 Sep 2015 - 2:09

score 1.1k · Answer 11 · 2026-04-02 19:18:53

1.1k

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What is the covariance of two dependent normal distributed random variables

Published on 02 Apr 2026 - 19:18

score 5.4k · Answer 12 · 2015-09-09 07:39:37

5.4k

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Conditional expectation given an event is equivalent to conditional expectation given the sigma algebra generated by the event

Published on 09 Sep 2015 - 7:39

score 963 · Answer 13 · 2026-04-05 06:43:15

963

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Expected Value for number of draws

Published on 05 Apr 2026 - 6:43

score 799 · Answer 14 · 2026-04-01 00:24:22

799

Views

Set of n dice are thrown...

Published on 01 Apr 2026 - 0:24

score 257 · Answer 15 · 2026-04-07 18:20:50

257

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Conditional Probability of Conditional Variance

Published on 07 Apr 2026 - 18:20

List Question

If $X$ and $Y$ are Normally distributed with correlation $\rho$, can we say anything about $E[Y \mid X]?$

Conditional expectation of the maximum of two independent random variables, given one of them

Find $E(X_1X_2 \mid X_2 X_3)$ for i.i.d. symmetric Bernoulli random variables $X_k$

What's the sample space for a conditional expectation?

If $x_i$ is from a random sample is $Var(\bar x \mid x_i)=0$?

Suppose $\xi_1, \xi_2,\ldots$ are i.i.d. random variables with mean $\mu$, variance $\sigma^2$. Form the random sum $S_{N} = \xi_{1}+\cdots+\xi_{N}$.

apply the law of total expectation

How to simplify the conditional expectation $E[v_3\mid v_1 < \max\{v_2,v_3\}, v_3=\max\{v_2,v_3\}]$

Conditional expectation and Joint distribution

Expected Value of choosing a specific object from n objects

What is the covariance of two dependent normal distributed random variables

Conditional expectation given an event is equivalent to conditional expectation given the sigma algebra generated by the event

Expected Value for number of draws

Set of n dice are thrown...

Conditional Probability of Conditional Variance

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