List questions from expectation

Published on 09 Aug 2014 - 4:38

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Expected value and covariance of compound Poisson process

Published on 11 Aug 2014 - 14:42

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mgf and distribution where $E(X^m) = (m+1)!2^m$

Published on 28 Mar 2026 - 6:14

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Covariance of a function of random variables

Published on 12 Aug 2014 - 7:54

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When a r.v. admits mean and variance?

Published on 13 Aug 2014 - 15:13

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Sandwiching Limsups & liminfs of expectations

Published on 27 Mar 2026 - 6:56

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Expectation $E(2^X)$ with $X$ Poisson random variable

Published on 14 Aug 2014 - 13:09

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What is the variance of multiple indicator random variables?!

Published on 16 Aug 2014 - 8:29

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Expected number of targets hit by 10 shooters, 2 bullets each, 20 targets

Published on 16 Aug 2014 - 11:53

182

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Applying Markov's inequality to a sequence of random variables

Published on 16 Aug 2014 - 17:37

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For which function $f$ is $1 \ll \sum_{i=1}^{n} i \cdot i^{-f(n)} \ll n$?

Published on 17 Aug 2014 - 8:38

117

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Convergence of expecations implies convergence of positive and negative parts?

Published on 17 Aug 2014 - 10:41

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Expected value and variance of random process

Published on 17 Aug 2014 - 16:32

473

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$\mathbb E[\mathbb E(X|Y, Z)|Y]$ or $\mathbb E\{\mathbb E[(X|Y)|Z]\}$?

Published on 18 Aug 2014 - 8:28

126

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Transforming distributions

Published on 18 Aug 2014 - 10:45

List Question

Question about computing expected value of the limit of a geometric mean of random variables

Expected value and covariance of compound Poisson process

mgf and distribution where $E(X^m) = (m+1)!2^m$

Covariance of a function of random variables

When a r.v. admits mean and variance?

Sandwiching Limsups & liminfs of expectations

Expectation $E(2^X)$ with $X$ Poisson random variable

What is the variance of multiple indicator random variables?!

Expected number of targets hit by 10 shooters, 2 bullets each, 20 targets

Applying Markov's inequality to a sequence of random variables

For which function $f$ is $1 \ll \sum_{i=1}^{n} i \cdot i^{-f(n)} \ll n$?

Convergence of expecations implies convergence of positive and negative parts?

Expected value and variance of random process

$\mathbb E[\mathbb E(X|Y, Z)|Y]$ or $\mathbb E\{\mathbb E[(X|Y)|Z]\}$?

Transforming distributions

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