BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CREST - ECPv5.1.3//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:CREST
X-ORIGINAL-URL:https://crest.science
X-WR-CALDESC:Events for CREST
BEGIN:VTIMEZONE
TZID:Europe/Paris
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20180325T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20181028T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20181015T140000
DTEND;TZID=Europe/Paris:20181015T151500
DTSTAMP:20260713T144045
CREATED:20180820T081433Z
LAST-MODIFIED:20180820T081433Z
UID:12100-1539612000-1539616500@crest.science
SUMMARY:Mathias DRTON (Université de Copenhague) - "Causal Discovery in Linear Non-Gaussian Models "
DESCRIPTION:\nThe Statistical Seminar: Every Monday at 2:00 pm.\nTime: 2:00 pm – 3:15 pm\nDate: 15th of October 2018\nPlace: Room 3001.\nMathias DRTON (Université de Copenhague) – “Causal Discovery in Linear Non-Gaussian Models “ \nAbstract:We consider the problem of inferring the causal graph underlying a structural equation model from an i.i.d. sample. It is well known that this graph is identifiable only under special assumptions. \nWe consider one such set of assumptions\, namely\, linear structural equations with non-Gaussian errors\, and discuss inference of the causal graph in high-dimensional settings as well as in the presence of latent confounders.\nJoint work with Y. Samuel Wang.\n \nOrganizers:\nCristina BUTUCEA\, Alexandre TSYBAKOV\, Julie JOSSE\, Eric MOULINES\, Mathieu ROSENBAUM\nSponsors:\nCREST-CMAP\n \n\n
URL:https://crest.science/event/jamal-najim-cnrs-upem-tba-2-2-3-5-2-2-2-2-3-2/
CATEGORIES:Statistics
ATTACH;FMTTYPE=:
END:VEVENT
END:VCALENDAR