Timeline for Convergence of moments implies convergence to normal distribution
Current License: CC BY-SA 3.0
10 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Feb 26 at 3:46 | comment | added | sdd | What is a good reference in the bivariate case, when all of the mixed moments converge to the mixed moments of a given distribution (say, the bivariate Normal distribution) | |
| Apr 20, 2021 at 16:32 | comment | added | Greg Martin | My best recommendation is this paper of Granville and Soundararajan describing such a proof of the celebrated Erdős–Kac theorem. I used this method in a paper with Lee Troupe—see Section 7 for the relevant argument again. | |
| Apr 20, 2021 at 14:30 | comment | added | mahbubweb | @Greg Martin May I get a link to your paper? Wanted to see the number theoretic application. | |
| Jul 31, 2012 at 4:09 | comment | added | Erick Wong | @Igor's link has the same typo. Third time's a [charm](en.wikipedia.org/wiki/Method_of_moments_(probability_theory%29)? | |
| Jul 27, 2012 at 7:00 | vote | accept | Greg Martin | ||
| Jul 26, 2012 at 8:41 | answer | added | Mateusz Wasilewski | timeline score: 15 | |
| Jul 26, 2012 at 7:04 | answer | added | an12 | timeline score: 6 | |
| Jul 24, 2012 at 14:31 | comment | added | Igor Rivin | @Qiaouchu's link has a typo. Here is the right link: en.wikipedia.org/wiki/Method_of_moments_(probability_theory) | |
| Jul 24, 2012 at 0:05 | comment | added | Qiaochu Yuan | en.wikipedia.org/wiki/Method_of_moments_(probability_theory) ? | |
| Jul 23, 2012 at 22:27 | history | asked | Greg Martin | CC BY-SA 3.0 |