Timeline for Independence depth of linearly dependent random variables
Current License: CC BY-SA 4.0
9 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jan 2, 2020 at 10:26 | vote | accept | Chain Markov | ||
| Jan 2, 2020 at 10:26 | vote | accept | Chain Markov | ||
| Jan 2, 2020 at 10:26 | |||||
| Jan 2, 2020 at 10:04 | answer | added | Dap | timeline score: 3 | |
| Jan 2, 2020 at 0:50 | history | edited | Iosif Pinelis |
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| Jan 1, 2020 at 18:59 | answer | added | Iosif Pinelis | timeline score: 5 | |
| Dec 26, 2019 at 19:20 | comment | added | Christian Remling | Of course, this suggests that the full question has the same answer, with just some technical difficulties added. | |
| Dec 26, 2019 at 19:19 | comment | added | Christian Remling | If the rv's have expectations, then $k>1$ is impossible, by the argument I already gave in your first question: take $E(\ldots|X_1)$ to see that $X_1$ is constant. | |
| Dec 26, 2019 at 13:12 | comment | added | Chain Markov | It is a follow-up of this question: mathoverflow.net/q/349010/110691 | |
| Dec 26, 2019 at 13:11 | history | asked | Chain Markov | CC BY-SA 4.0 |