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PRODID:-//CREST - ECPv5.1.3//NONSGML v1.0//EN
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METHOD:PUBLISH
X-WR-CALNAME:CREST
X-ORIGINAL-URL:https://crest.science
X-WR-CALDESC:Events for CREST
BEGIN:VTIMEZONE
TZID:UTC
BEGIN:STANDARD
TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20230101T000000
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20231030
DTEND;VALUE=DATE:20231104
DTSTAMP:20260711T013708
CREATED:20231024T100955Z
LAST-MODIFIED:20231025T100919Z
UID:16145-1698624000-1699055999@crest.science
SUMMARY:Autumn School in Bayesian Statistics 2023
DESCRIPTION:30th October – 3rd November 2023 at CIRM Marseille \nMaster classes by Nicolas Chopin and Silvia Chiappa \nThe objective of this autumn school is to provide a comprehensive overview of Bayesian methods for complex settings: modeling techniques\, computational advances\, theoretical guarantees and practical implementation. It will include two masterclasses on Sequential Monte Carlo and on Bayesian causal inference tutorials on NIMBLE and on Bayesian Statistics with Python and a selection of invited and contributed talks. \nProgram of the event: https://bayesiatcirm.github.io/2023/ \n
URL:https://crest.science/event/autumn-school-in-bayesian-statistics-2023/
CATEGORIES:Conferences and Workshops,Statistics
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