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On the ordering of some nonreversible Markov chain and Markov process Monte Carlo methods

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SINW01 - Scalable statistical inference

We will show how one can derive simple criteria to order the asymptotic variance of a broad class of Monte Carlo algorithms based on Markov chains or processes. Interestingly these results mirror existing results for algorithms based on reversible processes.

Joint work with Sam Livingstone.

This talk is part of the Isaac Newton Institute Seminar Series series.

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Room TBC, Mary Allan Building, Homerton College, Hills Road, Cambridge CB2 8PQ Lloyd Room, Christ’s College https://us02web.zoom.us/meeting/register/tZctf-6upzIvHdwakhIpj72gee3INxKcIcoE

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