List questions from expectation

Published on 06 Apr 2014 - 0:14

58

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How to get from this probability formula to the one I need?

Published on 06 Apr 2014 - 16:56

2.3k

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Number of storms in a rainy season

Published on 07 Apr 2014 - 4:34

713

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Lowerbound on expectation of log sum of Bernoulli random variables?

Published on 07 Apr 2014 - 18:29

111

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Product of two random variables together with conditional density

Published on 08 Apr 2014 - 14:41

109

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$\rho_\gamma(X)=\frac{1}{\gamma} \log \mathbb{E}[e^{-\gamma X}]$

Published on 26 Mar 2026 - 19:37

61

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Expected value for linear scan before encountering one of k elements

Published on 11 Apr 2014 - 11:32

402

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Expected value of multiplied and squared Wiener Process

Published on 27 Mar 2026 - 1:44

75

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Expected value vs values which happen with the biggest probability

Published on 13 Apr 2014 - 16:36

650

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Meaning of the expectation of a conditional variance

Published on 15 Apr 2014 - 4:42

425

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Expectation and variance of the number of couples sitting at the same table

Published on 15 Apr 2014 - 5:55

175

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calculating variance of a random variable

Published on 15 Apr 2014 - 14:12

15.9k

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Show that $E[(X-E[X])^2] = E[X^2]-E^2[X]$

Published on 15 Apr 2014 - 20:18

275

Views

Expectation and variance of seats in a movie theater

Published on 16 Apr 2014 - 2:15

131

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Mean and variance: Gaussian is the most conservative assumption

Published on 27 Mar 2026 - 18:37

List Question

Expected Value of a function of the standard normal distribution

How to get from this probability formula to the one I need?

Number of storms in a rainy season

Lowerbound on expectation of log sum of Bernoulli random variables?

Product of two random variables together with conditional density

$\rho_\gamma(X)=\frac{1}{\gamma} \log \mathbb{E}[e^{-\gamma X}]$

Expected value for linear scan before encountering one of k elements

Expected value of multiplied and squared Wiener Process

Expected value vs values which happen with the biggest probability

Meaning of the expectation of a conditional variance

Expectation and variance of the number of couples sitting at the same table

calculating variance of a random variable

Show that $E[(X-E[X])^2] = E[X^2]-E^2[X]$

Expectation and variance of seats in a movie theater

Mean and variance: Gaussian is the most conservative assumption

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