Question

Is there a formal connection between an autocorrelation function and a loss of information?

score 34 · Answer 1 · 2026-03-27 00:03:57

34

Views

Is there a formal connection between an autocorrelation function and a loss of information?

Published on 27 Mar 2026 - 0:03

score 293 · Answer 2 · 2026-03-27 00:01:32

293

Views

using mutual information in bayesian statistics

Published on 27 Mar 2026 - 0:01

score 448 · Answer 3 · 2026-03-27 00:06:41

448

Views

Show that relative entropy in terms of integrals is always non-negative

Published on 27 Mar 2026 - 0:06

score 353 · Answer 4 · 2026-03-27 23:29:59

353

Views

Question about when Channel Capacity is zero

Published on 27 Mar 2026 - 23:29

score 144 · Answer 5 · 2026-03-27 00:03:05

144

Views

Entropy and Joint Probabilty Distributions for iid random variables

Published on 27 Mar 2026 - 0:03

score 105 · Answer 6 · 2026-02-23 02:38:24

105

Views

Is the Wasserstein distance the same down a Markov chain?

Published on 23 Feb 2026 - 2:38

score 192 · Answer 7 · 2019-11-05 01:52:13

192

Views

markov chain notation $X - Y - Z$

Published on 05 Nov 2019 - 1:52

score 34 · Answer 8 · 2019-11-06 13:02:59

34

Views

How can we know it is better to compress some data with an algorithm based on our previous experience of a similar type of data?

Published on 06 Nov 2019 - 13:02

score 36 · Answer 9 · 2019-11-06 16:51:19

36

Views

Does any sort of formal way to measure the amount of 'information' exist?

Published on 06 Nov 2019 - 16:51

score 122 · Answer 10 · 2026-03-27 01:54:20

122

Views

When writing mutual information chain rule in terms of entropies, almost all terms cancel out. Is this correct?

Published on 27 Mar 2026 - 1:54

score 247 · Answer 11 · 2026-03-27 00:04:10

247

Views

Inequality of difference of entropy

Published on 27 Mar 2026 - 0:04

score 171 · Answer 12 · 2026-03-27 00:06:48

171

Views

Cross-entropy and determinant of cross-covariance matrix

Published on 27 Mar 2026 - 0:06

score 100 · Answer 13 · 2026-03-27 23:38:54

100

Views

Example of encoding scheme which is not prefix-free

Published on 27 Mar 2026 - 23:38

score 52 · Answer 14 · 2019-11-12 18:05:01

52

Views

Differential entropy measure that is sensitive to the amount of dimensions?

Published on 12 Nov 2019 - 18:05

score 98 · Answer 15 · 2019-11-14 05:01:45

98

Views

In the derivation of the KL divergence, where does the expectation come from?

Published on 14 Nov 2019 - 5:01

List Question

Is there a formal connection between an autocorrelation function and a loss of information?

using mutual information in bayesian statistics

Show that relative entropy in terms of integrals is always non-negative

Question about when Channel Capacity is zero

Entropy and Joint Probabilty Distributions for iid random variables

Is the Wasserstein distance the same down a Markov chain?

markov chain notation $X - Y - Z$

How can we know it is better to compress some data with an algorithm based on our previous experience of a similar type of data?

Does any sort of formal way to measure the amount of 'information' exist?

When writing mutual information chain rule in terms of entropies, almost all terms cancel out. Is this correct?

Inequality of difference of entropy

Cross-entropy and determinant of cross-covariance matrix

Example of encoding scheme which is not prefix-free

Differential entropy measure that is sensitive to the amount of dimensions?

In the derivation of the KL divergence, where does the expectation come from?

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