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X-ORIGINAL-URL:https://cmc.deusto.eus/
X-WR-CALNAME:cmc.deusto.eus
X-WR-CALDESC:DeustoCCM - Chair of Computational Mathematics at University of Deusto
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UID:MEC-7426f79c9a7f5af0a6cc457b2a7fb195@cmc.deusto.eus
DTSTART:20200522T110000Z
DTEND:20200522T130000Z
DTSTAMP:20200513T161800Z
CREATED:20200513
LAST-MODIFIED:20200604
PRIORITY:5
TRANSP:OPAQUE
SUMMARY:StudON: Crash Course in Monte Carlo methods (1st session)
DESCRIPTION:FAU – Friedrich Alexander Universität Erlangen-Nürnberg organizes the course the e-learning platform StudON: Crash Course in Monte Carlo methods, by Philipp Konstantin Wacker in two sessions:\n\n1st session on May 22nd, 2020\n2d session TBD (soon)\n\n \nTo whom? Anyone who always wanted to learn how to do computations randomly. and not yet familiar with Monte Carlo methods. Basic knowledge about random variables are required (i.e. what is a probability distribution function, what is the expectation of a random variable, how do we transform random variables, what is Bayes’ law etc.).\nAccess. Public\nJoining the course StudON link via Zoom \n[Session 1] convers Bayesian inverse problems (this will be our framework under which we think about Monte Carlo methods), the idea of sampling, how we can compute integrals with them, importance sampling and rejection sampling.\n[Session 2] Markov Chain Monte Carlo methods, which is a quite successful and modern way of doing Monte Carlo.\n\n\nThere will be some kind of practical session after that so we can apply what we’ve learned to an interesting problem.\n\n\n\nThis will be a crash course aimed at anyone who is not yet familiar with Monte Carlo methods, this means no advanced topics like geometric ergodicity, sampling in infinite dimensions, spectral gaps etc. are covered. This course is supposed to give you enough intuition so you know what Monte Carlos is basically about and you could pick up more advanced books or papers to learn more. It will also enable you to casually drop The Secret Acronyms (MH-MCMC, gpCN, MALA,…) in conversation.\n
URL:https://cmc.deusto.eus/events-calendar/studon-crash-course-in-monte-carlo-methods-1st-session/
ORGANIZER;CN=Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU):MAILTO:
CATEGORIES:Events Calendar,Events Calendar Past
ATTACH;FMTTYPE=image/png:https://cmc.deusto.eus/wp-content/uploads/2020/05/logo-studON-e1589387226338.png
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