Question

How to use joint entropy properly

score 91 · Answer 1 · 2026-03-25 04:36:34

91

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How to use joint entropy properly

Published on 25 Mar 2026 - 4:36

score 64 · Answer 2 · 2018-05-08 07:56:38

64

Views

Log-likelihood statistic convergence.

Published on 08 May 2018 - 7:56

score 131 · Answer 3 · 2026-03-25 03:07:12

131

Views

Entropy of a beta-binomial compound distribution

Published on 25 Mar 2026 - 3:07

score 368 · Answer 4 · 2026-03-25 03:07:23

368

Views

Puzzle: whats the actual answer?

Published on 25 Mar 2026 - 3:07

score 45 · Answer 5 · 2018-05-10 11:24:25

45

Views

What rate does the code have?

Published on 10 May 2018 - 11:24

score 810 · Answer 6 · 2018-05-11 12:08:27

810

Views

Binary symmetric channel probability

Published on 11 May 2018 - 12:08

score 341 · Answer 7 · 2018-05-21 05:35:14

341

Views

Subscript notation for combining random variables (Cover proof of theorem 2.7.3)

Published on 21 May 2018 - 5:35

score 318 · Answer 8 · 2026-03-25 09:22:28

318

Views

Estimating the parameter lambda in exponential distribution

Published on 25 Mar 2026 - 9:22

score 419 · Answer 9 · 2018-05-24 15:03:11

419

Views

Using the Blahut-Arimoto algorithm to calculate the rate-distortion curve of a Bernoulli source

Published on 24 May 2018 - 15:03

score 185 · Answer 10 · 2026-03-25 09:53:26

185

Views

Kullback Leibler (KL) Divergence (In the Context of `t-SNE`)

Published on 25 Mar 2026 - 9:53

score 315 · Answer 11 · 2018-05-25 16:59:12

315

Views

Is Kullback-Leibler divergence a general measure of the difference of two probability distributions? Relation to Kolmogorov-Smirnov Test?

Published on 25 May 2018 - 16:59

score 131 · Answer 12 · 2026-03-25 03:03:58

131

Views

Relative entropy of marginals of a distribution

Published on 25 Mar 2026 - 3:03

score 1.1k · Answer 13 · 2026-03-25 04:40:17

1.1k

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Is there a unified definition of entropy for arbitrary random variables?

Published on 25 Mar 2026 - 4:40

score 318 · Answer 14 · 2026-03-25 19:05:46

318

Views

Relative entropy (divergence) of sum of two Gaussian random variables

Published on 25 Mar 2026 - 19:05

score 116 · Answer 15 · 2026-03-25 04:44:22

116

Views

In the proof of Shannon's Entropy, why does $|\frac{A(t)}{A(s)}-\frac{\log t}{\log s}|<2\epsilon$ imply $A(t)=K \log t$?

Published on 25 Mar 2026 - 4:44

List Question

How to use joint entropy properly

Log-likelihood statistic convergence.

Entropy of a beta-binomial compound distribution

Puzzle: whats the actual answer?

What rate does the code have?

Binary symmetric channel probability

Subscript notation for combining random variables (Cover proof of theorem 2.7.3)

Estimating the parameter lambda in exponential distribution

Using the Blahut-Arimoto algorithm to calculate the rate-distortion curve of a Bernoulli source

Kullback Leibler (KL) Divergence (In the Context of `t-SNE`)

Is Kullback-Leibler divergence a general measure of the difference of two probability distributions? Relation to Kolmogorov-Smirnov Test?

Relative entropy of marginals of a distribution

Is there a unified definition of entropy for arbitrary random variables?

Relative entropy (divergence) of sum of two Gaussian random variables

In the proof of Shannon's Entropy, why does $|\frac{A(t)}{A(s)}-\frac{\log t}{\log s}|<2\epsilon$ imply $A(t)=K \log t$?

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