Question

Rigorous definitions of probabilistic statements in Machine Learning

score 340 · Answer 1 · 2026-04-12 09:13:57

340

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Rigorous definitions of probabilistic statements in Machine Learning

Published on 12 Apr 2026 - 9:13

score 186 · Answer 2 · 2026-04-09 16:18:45

186

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Density function of a Brownian motion conditioning on a first exit time

Published on 09 Apr 2026 - 16:18

score 144 · Answer 3 · 2026-04-15 07:34:13

144

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Zero-mean random variable for the number of descents

Published on 15 Apr 2026 - 7:34

score 38 · Answer 4 · 2026-04-09 11:46:25

38

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How to interpret conditional probability from complex questions?

Published on 09 Apr 2026 - 11:46

score 108 · Answer 5 · 2026-04-10 23:40:36

108

Views

Urn extraction with replacement and order of the extraction

Published on 10 Apr 2026 - 23:40

score 96 · Answer 6 · 2026-04-16 09:50:39

96

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Probability question involving 4 coins (gold and silver) in 3 boxes each. Is my explanation correct?

Published on 16 Apr 2026 - 9:50

score 1.7k · Answer 7 · 2026-04-13 16:39:05

1.7k

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A fair die is rolled repeatedly. Let $X$ be the number of rolls needed to obtain a $5$ and $Y$ be the number of rolls needed to obtain as $6$.

Published on 13 Apr 2026 - 16:39

score 272 · Answer 8 · 2026-04-16 17:36:36

272

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Under which probabilistic assumptions is this estimation approach correct?

Published on 16 Apr 2026 - 17:36

score 91 · Answer 9 · 2026-04-15 02:01:40

91

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How to distinguish conditional probablity $P(A|B)$ and $P(A\cap B)$ in some practical problems?

Published on 15 Apr 2026 - 2:01

score 29 · Answer 10 · 2026-04-16 17:32:55

29

Views

Symmetric extension to Poisson Mass Function - Conditional Variance

Published on 16 Apr 2026 - 17:32

score 69 · Answer 11 · 2026-04-09 22:26:55

69

Views

Finding a conditional probability for draws from an urn

Published on 09 Apr 2026 - 22:26

score 77 · Answer 12 · 2026-04-16 20:45:40

77

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Probability $P(Y_1 = 2 | Y_2 = 0)$ where $Y_1 = X_1 + X_2$ and $Y_2 = X_1 - X_2$ - $X1, \, X_2 \in \lbrace 1,2,3,4 \rbrace$ with uniform distribution

Published on 16 Apr 2026 - 20:45

score 1k · Answer 13 · 2026-04-17 00:46:17

1k

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SOLVED If A and B are independent given C, then P(A|C) x P(B|C) = P(A and B | C)?

Published on 17 Apr 2026 - 0:46

score 125 · Answer 14 · 2026-04-09 03:51:15

125

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Maximum possible probability given null interesection of events

Published on 09 Apr 2026 - 3:51

score 212 · Answer 15 · 2026-04-15 04:04:31

212

Views

Calculate the percentage reduction on the variance of the claim payment

Published on 15 Apr 2026 - 4:04

List Question

Rigorous definitions of probabilistic statements in Machine Learning

Density function of a Brownian motion conditioning on a first exit time

Zero-mean random variable for the number of descents

How to interpret conditional probability from complex questions?

Urn extraction with replacement and order of the extraction

Probability question involving 4 coins (gold and silver) in 3 boxes each. Is my explanation correct?

A fair die is rolled repeatedly. Let $X$ be the number of rolls needed to obtain a $5$ and $Y$ be the number of rolls needed to obtain as $6$.

Under which probabilistic assumptions is this estimation approach correct?

How to distinguish conditional probablity $P(A|B)$ and $P(A\cap B)$ in some practical problems?

Symmetric extension to Poisson Mass Function - Conditional Variance

Finding a conditional probability for draws from an urn

Probability $P(Y_1 = 2 | Y_2 = 0)$ where $Y_1 = X_1 + X_2$ and $Y_2 = X_1 - X_2$ - $X1, \, X_2 \in \lbrace 1,2,3,4 \rbrace$ with uniform distribution

SOLVED If A and B are independent given C, then P(A|C) x P(B|C) = P(A and B | C)?

Maximum possible probability given null interesection of events

Calculate the percentage reduction on the variance of the claim payment

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