Timeline for The minimum of the reciprocals of some Poisson random variables
Current License: CC BY-SA 4.0
7 events
when toggle format | what | by | license | comment | |
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Jan 20, 2019 at 8:43 | answer | added | RaphaelB4 | timeline score: 1 | |
Jan 20, 2019 at 7:40 | vote | accept | Chuck Newton | ||
Jan 20, 2019 at 0:32 | comment | added | Iosif Pinelis | Previous comment continued: Cf. e.g. the asymptotics $\int_0^1(1-ct)^k\,dt\sim1/(ck)$ for $c\in(0,1)$ as $k\to\infty$, which of course depends on $c$, whereas $\ln(ct)\sim\ln t$ as $t\downarrow0$. So, I don't see how a large deviation principle by itself could be enough here. | |
Jan 20, 2019 at 0:29 | comment | added | Iosif Pinelis | @RaphaelB4 : Can you expand your comment into a formal answer? From my answer, it seems clear that, to get the value of the limit, one needs to have the asymptotics of $P(X_1>x)$ uniformly in the zone $x=O(k)$ (which will be given by a certain analytic function of $\lfloor x\rfloor$, rather than by an analytic function of $x$). On the other hand, a large deviation principle only gives the asymptotics of $\ln P(X_1>x)$ -- which is much, much less informative than the needed asymptotics of $P(X_1>x)$. | |
Jan 18, 2019 at 14:57 | comment | added | RaphaelB4 | Yes and using a large deviation principle one can proves that this goes to 1. | |
Jan 18, 2019 at 14:35 | answer | added | Iosif Pinelis | timeline score: 3 | |
Jan 17, 2019 at 3:18 | history | asked | Chuck Newton | CC BY-SA 4.0 |