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BEGIN:VEVENT
UID:683@lincs.fr
DTSTART;TZID=Europe/Paris:20220112T110000
DTEND;TZID=Europe/Paris:20220112T120000
DTSTAMP:20220125T052754Z
URL:https://www.lincs.fr/events/poisson-approximations-of-sums-of-bernoull
 i-random-variables/
SUMMARY:Poisson approximations of sums of Bernoulli random variables
DESCRIPTION:Approximation by Poisson distributions or processes is of great
 interest in many applications including networks\, queueing theory and even
 neuroscience\, as the Poisson distribution arises as a natural limit
 distribution in many situations involving independent "rare" events. In
 this talk\, we propose to give an overview of classical methods of Poisson
 approximation of sums of Bernoulli random variables. We will first focus on
 Le Cam's result for the case of independent random variables and give a
 proof based on the coupling method. We will then focus on the case when the
 variables are not necessarily independent and present the classical
 Chen-Stein method.
CATEGORIES:Network Theory,Working Group,Youtube
LOCATION:Paris-Rennes Room (EIT Digital)\, 23 avenue d'Italie\, 75013
 Paris\, France
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=23 avenue d'Italie\, 75013
 Paris\, France;X-APPLE-RADIUS=100;X-TITLE=Paris-Rennes Room (EIT
 Digital):geo:0,0
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BEGIN:VTIMEZONE
TZID:Europe/Paris
X-LIC-LOCATION:Europe/Paris
BEGIN:STANDARD
DTSTART:20211031T020000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
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