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X-ORIGINAL-URL:https://datasciences.utoronto.ca/
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UID:MEC-e1e32e235eee1f970470a3a6658dfdd5@datasciences.utoronto.ca
DTSTART:20211018T211500Z
DTEND:20211018T221500Z
DTSTAMP:20210929T232400Z
CREATED:20210929
LAST-MODIFIED:20220805
SUMMARY:Data Sciences Speaker Series at UofT: Jeffrey Rosenthal
DESCRIPTION:Join us for the next installment of the Data Science Speaker Series at U of T with:\nProfessor Jeffrey Rosenthal\nDepartment of Statistics\nUniversity of Toronto\nFree Event | Registration Required\nTalk Title:\nThe Magic of Monte Carlo\nAbstract: Monte Carlo algorithms have completely revolutionised statistical\ncomputation, allowing previously intractable models to be easily\nsolved. In particular, Markov chain Monte Carlo (MCMC) algorithms have\nallowed for the use of Bayesian inference in a multitude of settings.\nOne reason for their success is a strong theoretical foundation,\nallows us to validate the basic algorithms, provide numerous extensions\nand generalisations of the algorithms, clarify different algorithm\noptions and tunings, and evaluate the results. This talk will present\nsimple graphical examples to illustrate the workings of MCMC. It will emphasise\nthe impact and importance of various theoretical MCMC issues including ergodicity,\nqualitative and quantitative convergence rates, optimal scalings,\nand adaptive MCMC. It will not assume any previous MCMC background,\nand is designed to be accessible to everyone.\nSpeaker Profile: Jeffrey Rosenthal is a professor of Statistics at the University of Toronto. He obtained his BSc from the University of Toronto at the age of 20, his PhD in Mathematics from Harvard University at the age of 24, and tenure at the University of Toronto at the age of 29. He received the 2006 CRM-SSC Prize, the 2007 COPSS Presidents’ Award, the 2013 SSC Gold Medal, a 2019 President’s Impact Award, and teaching awards at both Harvard and Toronto. He is a fellow of the Institute of Mathematical Statistics and of the Royal Society of Canada. Rosenthal’s book for the general public, Struck by Lightning: The Curious World of Probabilities, was published in sixteen editions and ten languages, and was a bestseller in Canada, leading to numerous media and public appearances, and to his work exposing the Ontario lottery retailer scandal. It was followed by a second book for the general public, Knock On Wood: Luck, Chance, and the Meaning of Everything. He has also dabbled as a computer game programmer, musical performer, and improvisational comedy performer, and is fluent in French. His web site is www.probability.ca, and on Twitter he is @ProbabilityProf. Despite being born on Friday the thirteenth, Rosenthal has been a very fortunate person.\n
URL:https://datasciences.utoronto.ca/event/data-sciences-speaker-series-at-uoft-tbc-9/
ORGANIZER;CN=:MAILTO:
CATEGORIES:Data Sciences Speaker Series,DSSS@ U of T - 2021-2022 Season,DSSS@U of T
LOCATION:Online
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