BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//UM//UM*Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:America/Detroit
TZURL:http://tzurl.org/zoneinfo/America/Detroit
X-LIC-LOCATION:America/Detroit
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20070311T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20071104T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20230910T132314
DTSTART;TZID=America/Detroit:20230911T160000
DTEND;TZID=America/Detroit:20230911T170000
SUMMARY:Workshop / Seminar:Algebraic Statistics and Brownian Motion Tree Models
DESCRIPTION:Algebraic statistics is an exciting area of math that studies statistical models using algebraic geometry\, commutative algebra\, and combinatorics. In this talk I will introduce two classical objects in algebraic statistics: the maximum likelihood estimator (MLE) and maximum likelihood degree (ML degree). We will explore these objects with an example from phylogenetics: Brownian motion tree models. This exploration will include a generalization of the Cayley-Prufer theorem that arises in computing the ML degree of Brownian motion tree models.
UID:111982-21828092@events.umich.edu
URL:https://events.umich.edu/event/111982
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Graduate Students,Mathematics
LOCATION:East Hall - EH 3866
CONTACT:
END:VEVENT
END:VCALENDAR