List questions from independence

Published on 10 Feb 2020 - 18:04

157

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Are $U=\frac{X}{X+Y}$ and $V=X+Y$ independent if $X$ and $Y$ are?

Published on 11 Feb 2020 - 0:22

18

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Linear independence of Indicators

Published on 13 Feb 2020 - 8:14

678

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Let $A,B,C$ be independent random variables uniformly distributed over $[0,5], [0,1] \& [0,2]$. Find probability that roots of $Ax^2+Bx+C=0$ are real.

Published on 28 Mar 2026 - 16:58

206

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Is mean independence symmetric

Published on 13 Feb 2020 - 15:47

521

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Minimum and difference between maximum and minimum of two i.i.d geometric random variables are independent

Published on 13 Feb 2020 - 19:18

41

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What is a big sample?

Published on 27 Mar 2026 - 18:25

39

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Proof verification: Independent events

Published on 16 Feb 2020 - 10:55

26

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Is $E[|\sum X_i \sum Y_j|]= \sum E[X_i] \sum E[Y_j]?$ where $X_i,Y_j \sim Exp(\lambda)$ and iid.

Published on 27 Mar 2026 - 7:20

50

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Random sum of random variables and independence

Published on 17 Feb 2020 - 16:25

134

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Using the law of large numbers to get a dominating sequence

Published on 28 Mar 2026 - 0:05

66

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Conditional expected value for maximum random number of random variables

Published on 28 Mar 2026 - 22:25

602

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How to measure the independence of random variables?

Published on 20 Feb 2020 - 11:31

44

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Meaning of 'independency'

Published on 21 Mar 2026 - 20:44

35

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Probability and independence of variables

Published on 24 Feb 2020 - 9:58

List Question

"co-relatedness" of conditional expectation of two independent random variables

Are $U=\frac{X}{X+Y}$ and $V=X+Y$ independent if $X$ and $Y$ are?

Linear independence of Indicators

Let $A,B,C$ be independent random variables uniformly distributed over $[0,5], [0,1] \& [0,2]$. Find probability that roots of $Ax^2+Bx+C=0$ are real.

Is mean independence symmetric

Minimum and difference between maximum and minimum of two i.i.d geometric random variables are independent

What is a big sample?

Proof verification: Independent events

Is $E[|\sum X_i \sum Y_j|]= \sum E[X_i] \sum E[Y_j]?$ where $X_i,Y_j \sim Exp(\lambda)$ and iid.

Random sum of random variables and independence

Using the law of large numbers to get a dominating sequence

Conditional expected value for maximum random number of random variables

How to measure the independence of random variables?

Meaning of 'independency'

Probability and independence of variables

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