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BEGIN:VEVENT
UID:526@lincs.fr
DTSTART;TZID=Europe/Paris:20200205T110000
DTEND;TZID=Europe/Paris:20200205T120000
DTSTAMP:20200204T090817Z
URL:https://www.lincs.fr/events/propagation-of-chaos-in-discrete-time-repl
 ica-mean-field-models/
SUMMARY:Propagation of chaos in discrete-time Replica Mean Field models
DESCRIPTION:Replica mean-field (RMF) models have been introduced in various
 fields (biological neural networks\, telecommunication networks) to study
 limit behaviors in models whilst preserving the finite-size effects of
 interactions inside the considered networks. Replica-mean-field models are
 made of infinitely many replicas which interact according to the same basic
 structure as that of the finite network of interest.\nI will present the
 RMF structure in discrete time in a very general setting and show
 properties that arise at the limit in the number of replicas\, such as
 asymptotic independence between replicas and the asymptotic behavior of the
 arrivals process to a given replica. I will also present RMF models in
 continuous time which are of particular interest in computational
 neuroscience.
CATEGORIES:Network Theory,Working Group
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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TZID:Europe/Paris
X-LIC-LOCATION:Europe/Paris
BEGIN:STANDARD
DTSTART:20191027T020000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
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