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PRODID:-//University of Utah Math Department//Tools for multimodal sampling//EN
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X-WR-CALNAME:Tools for multimodal sampling
X-WR-CALDESC:Tools for multimodal sampling at University of Utah Mathematics Department
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UID:20220103T160000-michael-lindsey@math.utah.edu
DTSTART;TZID=America/Denver:20220103T160000
DTEND;TZID=America/Denver:20220103T170000
DTSTAMP:20260922T150857Z
SUMMARY:Tools for multimodal sampling
DESCRIPTION:Speaker: Michael Lindsey\, Courant Institute New York University\n\nThe task of sampling from a probability distribution with known density arises almost ubiquitously in the mathematical sciences, from Bayesian inference to computational chemistry. The most generic and widely-used method for this task is Markov chain Monte Carlo (MCMC), though this method typically …

LOCATION:JWB 335

URL:https://www.math.utah.edu/research/colloquia/2022-01-03-michael-lindsey/
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