Search Results
| Search type | Search syntax |
|---|---|
| Tags | [tag] |
| Exact | "words here" |
| Author |
user:1234 user:me (yours) |
| Score |
score:3 (3+) score:0 (none) |
| Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
| Views | views:250 |
| Code | code:"if (foo != bar)" |
| Sections |
title:apples body:"apples oranges" |
| URL | url:"*.example.com" |
| Saves | in:saves |
| Status |
closed:yes duplicate:no migrated:no wiki:no |
| Types |
is:question is:answer |
| Exclude |
-[tag] -apples |
| For more details on advanced search visit our help page | |
Results tagged with information-theory
Search options not deleted
user 8101
A branch of mathematics/statistics used to determine the information carrying capacity of a channel, whether one that is used for communication or one that is defined in an abstract sense. Entropy is one of the measures by which information theorists can quantify the uncertainty involved in predicting a random variable.
7
votes
5
answers
6k
views
Calculating the transfer entropy in R
The transfer entropy, from information theory, is an effective way to measure the one-way information dependence between two variables. A nice high-level summary is here:
http://lizier.me/joseph/prese …
- 3,091
0
votes
Accepted
Calculating the transfer entropy in R
See the .pdf found by Ramnath in comments section:
http://users.utu.fi/attenka/TEpresentation081128.pdf
- 3,091
41
votes
4
answers
40k
views
Measures of similarity or distance between two covariance matrices
Are there any measures of similarity or distance between two symmetric covariance matrices (both having the same dimensions)?
I am thinking here of analogues to KL divergence of two probability distr …
- 3,091