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TZID:America/New_York
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DTSTART:20241103T020000
TZOFFSETFROM:-0400
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DTSTART:20250309T020000
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BEGIN:VEVENT
UID:calendar.3559.events_uoft_date.0@www.statistics.utoronto.ca
CREATED:20241111T172411Z
DESCRIPTION:\nWhen and Where: \nTuesday, November 26, 2024 12:30 pm to 1:
 30 pm \n 9014 \n Ontario Power Building \n 700 University Avenue, Toronto
 , ON M5G 1Z5 \n\nSpeakers \nKevin McKinnon \n\nDescription: \nWelcome to 
 our casual research seminar organized in the Department of Statistical Sci
 ences at the University of Toronto. Our aim is to explore the diverse rese
 arch conducted by our faculty, students, and postdocs. Talks usually las
 t 30 to 45 minutes, followed by discussions. We cover current research, 
 overviews of emerging topics, and more. Some pizza and soda will be offer
 ed before the seminar around 12:20pm.Seminar organizers: Austin Brown & Ar
 cher Gong Zhang & Piotr Zwiernik. \n\nContact Information: \n Brown Bag Se
 minar \n700 University Avenue, Toronto, ON M5G 1Z5 \n\nCategories \n Bro
 wn Bag SeminarSeminar Series \n\nAudiences \n FacultyGraduate Students
DTSTART;TZID=America/New_York:20241126T123000
DTEND;TZID=America/New_York:20241126T133000
LAST-MODIFIED:20241111T172456Z
LOCATION:700 University Avenue, Toronto, ON M5G 1Z5
SUMMARY:BP3M: Bayesian Positions, Parallaxes, and Proper Motions Derived 
 from the Hubble Space Telescope and Gaia Data
URL;TYPE=URI:https://www.statistics.utoronto.ca/events/bp3m-bayesian-positi
 ons-parallaxes-and-proper-motions-derived-hubble-space-telescope-and-gaia
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