Timeline for The law of large numbers for diverging moments [closed]
Current License: CC BY-SA 3.0
11 events
when toggle format | what | by | license | comment | |
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Sep 16, 2015 at 15:54 | review | Reopen votes | |||
Sep 27, 2015 at 3:46 | |||||
Sep 16, 2015 at 15:46 | history | edited | user3141978 | CC BY-SA 3.0 |
added 301 characters in body
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Sep 16, 2015 at 15:35 | history | edited | user3141978 | CC BY-SA 3.0 |
added 295 characters in body
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Sep 16, 2015 at 15:24 | vote | accept | user3141978 | ||
Sep 16, 2015 at 10:36 | history | closed |
Joonas Ilmavirta Jan-Christoph Schlage-Puchta Nate Eldredge Yoav Kallus Neil Strickland |
Needs details or clarity | |
Sep 15, 2015 at 20:18 | answer | added | Iosif Pinelis | timeline score: 4 | |
Sep 15, 2015 at 16:54 | comment | added | Nate Eldredge | I'm confused. $X$ is a single random variable, its expectation is a fixed number. It doesn't make sense to say that a fixed number goes to infinity. Do you mean that you want to use a sequence of random variables $X_n$, independent but not identically distributed, so that $E[X_n] \sim C_n^{1-a}$ and $E[X_n^2] \sim C_n^{2-a}$? | |
Sep 15, 2015 at 15:02 | answer | added | Igor Rivin | timeline score: 1 | |
Sep 15, 2015 at 12:52 | review | Close votes | |||
Sep 16, 2015 at 10:36 | |||||
Sep 15, 2015 at 12:32 | review | First posts | |||
Sep 15, 2015 at 12:34 | |||||
Sep 15, 2015 at 12:29 | history | asked | user3141978 | CC BY-SA 3.0 |