Timeline for Mutual information between a vector and a constant
Current License: CC BY-SA 4.0
12 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| S Jun 3, 2020 at 8:46 | history | bounty ended | gab | ||
| S Jun 3, 2020 at 8:46 | history | notice removed | gab | ||
| Jun 3, 2020 at 8:46 | vote | accept | gab | ||
| Jun 2, 2020 at 2:13 | answer | added | Pedro Juan Soto | timeline score: 0 | |
| S May 28, 2020 at 7:09 | history | bounty started | gab | ||
| S May 28, 2020 at 7:09 | history | notice added | gab | Authoritative reference needed | |
| May 27, 2020 at 10:47 | comment | added | gab | I'm not sure I understand. Could you answer adding some examples/mathematical proof, please? | |
| May 26, 2020 at 15:52 | comment | added | whuber♦ | For starters, the very meaning and mathematical definition of mutual information varies with the distribution of $\mathbf x:$ it has one meaning for discrete distributions and another for continuous ones. It's possible in the discrete case for the mutual information to be finite but not in the continuous case, because the distribution of the constant is singular relative to any continuous distribution. | |
| May 26, 2020 at 14:43 | comment | added | gab | @whuber thank you for your kind reply :) Can I ask you to elaborate more on the first sentence? | |
| May 26, 2020 at 12:53 | comment | added | whuber♦ | It depends on the probability distribution and on the direction in which you are taking the mutual information. There's nothing special about being a "tensor" here: you might as well ask the question for a general probability space. | |
| May 26, 2020 at 8:20 | history | edited | gab | CC BY-SA 4.0 |
edited title
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| May 26, 2020 at 6:54 | history | asked | gab | CC BY-SA 4.0 |