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Computing the average number of times that n non-overlapping heads occur

score 79 · Answer 1 · 2023-08-20 23:04:53

79

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Computing the average number of times that n non-overlapping heads occur

Published on 20 Aug 2023 - 23:04

score 11 · Answer 2 · 2023-08-31 19:02:28

11

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Sample size estimation for networks

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score 33 · Answer 3 · 2026-03-26 06:20:02

33

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A probability simulation and probability distribution spike-graph are contradicting

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score 14 · Answer 4 · 2026-03-02 19:02:36

14

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Using ks.test to check generated random values with an empirical cumulative distribution function

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score 78 · Answer 5 · 2026-03-25 20:42:12

78

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score 90 · Answer 6 · 2023-11-07 04:10:16

90

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Can I draw conclusion based on the following Monte Carlo estimate of entropy?

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score 43 · Answer 7 · 2023-11-07 13:01:23

43

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score 29 · Answer 8 · 2023-11-12 15:34:08

29

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Published on 12 Nov 2023 - 15:34

score 13 · Answer 9 · 2023-11-21 14:31:56

13

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score 49 · Answer 10 · 2023-11-22 17:13:31

49

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score 69 · Answer 11 · 2026-03-25 18:53:41

69

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Why do we use the exponential in the Boltzmann distribution

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score 26 · Answer 12 · 2026-03-27 03:41:11

26

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score 152 · Answer 13 · 2023-11-30 16:23:44

152

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Monte carlo estimation, but function value can only be estimated indirectly

Published on 30 Nov 2023 - 16:23

score 64 · Answer 14 · 2023-12-01 14:37:28

64

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score 19 · Answer 15 · 2023-12-02 11:53:50

19

Views

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List Question

Computing the average number of times that n non-overlapping heads occur

Sample size estimation for networks

A probability simulation and probability distribution spike-graph are contradicting

Using ks.test to check generated random values with an empirical cumulative distribution function

Is the Monte Carlo integration method(s) actually a viable way to accurately integrate functions?

Can I draw conclusion based on the following Monte Carlo estimate of entropy?

Monte Carlo Simulation

Transformation of initial distribution via repeated applications of diffusion kernels.

Sampling in scattering; how to keep track of the coordinates

Why is sampling in high dimensions generally intractable (in the context of monte-carlo sampling?

Why do we use the exponential in the Boltzmann distribution

Quasi-Monte Carlo Integration of Probability Density With Light Tails

Monte carlo estimation, but function value can only be estimated indirectly

Probabilistic interpretation of simulation

Generic Metropolis-Hastings kernel in measure theory

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