List questions from conditional-expectation

Published on 31 Mar 2026 - 5:20

160

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Expected value of a dice Game with 18 rolls at most - land on a 6 to lose it all, anything else wins you the dice value

Published on 30 Mar 2026 - 5:26

161

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Independent bidimensional random variables.

Published on 28 Mar 2023 - 9:56

568

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If we draw cards from a deck without replacement, how many cards would I have to draw on average until I obtain two kings

Published on 28 Mar 2023 - 11:02

58

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Conditional expectation of i.i.d variables at random times

Published on 26 Mar 2026 - 10:59

48

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Ito Isometry under conditional expectation

Published on 30 Mar 2026 - 1:15

36

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Computing expectation of truncated conditional Gaussian r.v.

Published on 30 Mar 2023 - 2:35

122

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How to show $E[X|Y=y]=\frac{E[X1_{Y=y}]}{P(Y = y)}$ if $P(Y = y) > 0$?

Published on 30 Mar 2023 - 5:17

19

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stuck on a conditional expectation calculation

Published on 30 Mar 2023 - 10:23

42

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Basic question on (regular) conditional probablities.

Published on 30 Mar 2023 - 15:04

103

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Markov chains: Prove vector of mean hitting times is minimal non-negative solution

Published on 31 Mar 2023 - 17:47

64

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Computing conditional expectation of a function of $X$ given $X \leq t$

Published on 28 Mar 2026 - 20:07

34

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Simplify $\operatorname{E}[X \,|\, X < K]$ in terms of $F(x)$

Published on 02 Apr 2023 - 12:19

510

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If $X$ and $Y$ have the same distribution and $E[Y|X]=X$ almost surely, does that mean $X=Y$ almost surely?

Published on 03 Apr 2023 - 16:20

65

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$Z_1\overset{P}{\to}\infty \implies h(Z_1, Z_2)\overset{P}{\to}\infty$ for $Z_1, Z_2$ independent

Published on 03 Apr 2023 - 17:05

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Flaw in conditional expectation shortcut

Expected value of a dice Game with 18 rolls at most - land on a 6 to lose it all, anything else wins you the dice value

Independent bidimensional random variables.

If we draw cards from a deck without replacement, how many cards would I have to draw on average until I obtain two kings

Conditional expectation of i.i.d variables at random times

Ito Isometry under conditional expectation

Computing expectation of truncated conditional Gaussian r.v.

How to show $E[X|Y=y]=\frac{E[X1_{Y=y}]}{P(Y = y)}$ if $P(Y = y) > 0$?

stuck on a conditional expectation calculation

Basic question on (regular) conditional probablities.

Markov chains: Prove vector of mean hitting times is minimal non-negative solution

Computing conditional expectation of a function of $X$ given $X \leq t$

Simplify $\operatorname{E}[X \,|\, X < K]$ in terms of $F(x)$

If $X$ and $Y$ have the same distribution and $E[Y|X]=X$ almost surely, does that mean $X=Y$ almost surely?

$Z_1\overset{P}{\to}\infty \implies h(Z_1, Z_2)\overset{P}{\to}\infty$ for $Z_1, Z_2$ independent

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