Question

How to calculate the exact probability that the sum of a sliding window over a list of boolean values equals to m?

score 40 · Answer 1 · 2023-06-29 07:48:26

40

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How to calculate the exact probability that the sum of a sliding window over a list of boolean values equals to m?

Published on 29 Jun 2023 - 7:48

score 151 · Answer 2 · 2026-04-07 20:24:55

151

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score 49 · Answer 3 · 2023-06-30 14:50:37

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score 42 · Answer 4 · 2026-03-25 17:36:05

42

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score 37 · Answer 5 · 2026-04-03 00:25:22

37

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score 262 · Answer 6 · 2023-07-01 08:58:43

262

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How to prove that $\mathbb{P}(A \cap B \cap C)=\mathbb{P}(A\mid C)\times \mathbb{P}(B\mid C)\times \mathbb{P}(C)$

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score 49 · Answer 7 · 2026-04-03 00:24:12

49

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score 67 · Answer 8 · 2026-03-31 06:30:29

67

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score 23 · Answer 9 · 2026-03-30 12:45:27

23

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96

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score 55 · Answer 11 · 2026-04-08 02:04:56

55

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score 82 · Answer 12 · 2023-07-05 02:40:12

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50

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score 120 · Answer 15 · 2026-04-06 01:49:00

120

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List Question

How to calculate the exact probability that the sum of a sliding window over a list of boolean values equals to m?

Probability Brain Teaser with two dices

maximum of conditional i.i.d random variables

Probability for a randomly generated string to have the same suffix as the prefix

Why can one get rid of a conditioning sigma-algebra by independence by setting another sigma-measurable variable equal to a constant?

How to prove that $\mathbb{P}(A \cap B \cap C)=\mathbb{P}(A\mid C)\times \mathbb{P}(B\mid C)\times \mathbb{P}(C)$

Prove $Z_i = \frac{2n-i}{2n-i-1}Y_i^2 - \frac1{2n-i-1} (1 \le i \le 2n-2) $ is a martingale

How to deduce $P(C|E) \leq P(C)$ from the following equation

Exploring Likelihood Representation in Conditional Probability: Seeking Insights for Estimating $P[Y=y \mid X=x]$ in a Temperature Control System

Time-dependent transition probabilities

Probability of "shooting" specific targets from randomized "shots"

A question for a conditional probability exercise

Deriving Concentration of Measure Given Conditional Concentration

Computing $\mathbb{E}[X \mid X \land t]$ for exponential$(1)$ random variable $X$

Conditional Expectation with complete sufficient statistics

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