List questions from expectation

Published on 04 Oct 2014 - 22:53

222

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Last hit before random time s in Poisson point process - expected value.

Published on 26 Mar 2026 - 8:14

53

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Tips for evaluating $P(X\gt Y\gt Z)$

Published on 05 Oct 2014 - 17:31

3.1k

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Prove that $E(\mathbf{u}|\mathbf{X})=\mathbf{0}$ implies $Cov(\mathbf{x},\mathbf{u})=\mathbf{0}$

Published on 28 Mar 2026 - 11:42

621

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Marginal P.M.F and Conditional Expectation?

Published on 07 Oct 2014 - 22:28

117

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Expectation of absolute difference of 2 repetition of a continuous random variable.

Published on 08 Oct 2014 - 9:56

1.8k

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Expectation of truncated Poisson Distribution

Published on 08 Oct 2014 - 13:42

282

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Variation of Chebsyhev: How to prove that?

Published on 25 Mar 2026 - 3:20

4.7k

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The expected revenue problem

Published on 08 Oct 2014 - 20:16

134

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For X, Y bounded random variables, $E[X^m Y^n] = E[X^m]E[Y^n]$ for all $m, n \geq 0$ implies X, Y are independent

Published on 08 Oct 2014 - 23:35

96

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How to compute expected value

Published on 10 Oct 2014 - 3:34

137

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Does a discrete random variable on a finite sample space always have an expected value?

Published on 11 Oct 2014 - 15:23

2.8k

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Why does $E(XY)^2 \le E(X^2)E(Y^2)$ fail to hold for complex $X, Y$?

Published on 11 Oct 2014 - 18:43

153

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Expectation of drawing the second color from an urn

Published on 12 Oct 2014 - 12:01

672

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Expectation of Transposed random variable

Published on 12 Oct 2014 - 18:07

List Question

law of iterated expectations with nested conditioning sets

Last hit before random time s in Poisson point process - expected value.

Tips for evaluating $P(X\gt Y\gt Z)$

Prove that $E(\mathbf{u}|\mathbf{X})=\mathbf{0}$ implies $Cov(\mathbf{x},\mathbf{u})=\mathbf{0}$

Marginal P.M.F and Conditional Expectation?

Expectation of absolute difference of 2 repetition of a continuous random variable.

Expectation of truncated Poisson Distribution

Variation of Chebsyhev: How to prove that?

The expected revenue problem

For X, Y bounded random variables, $E[X^m Y^n] = E[X^m]E[Y^n]$ for all $m, n \geq 0$ implies X, Y are independent

How to compute expected value

Does a discrete random variable on a finite sample space always have an expected value?

Why does $E(XY)^2 \le E(X^2)E(Y^2)$ fail to hold for complex $X, Y$?

Expectation of drawing the second color from an urn

Expectation of Transposed random variable

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