Sequential Monte Carlo Methods Professors in Global

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Nicolas Hadjiconstantinou
Massachusetts Institute of Technology United States of America
monte carlo methods
computational methods
multiscale simulation methods
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John Anderson
Carnegie Mellon University United States of America
computational methods
mathematical methods
statistical methods
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Dave Touretzky
Carnegie Mellon University United States of America
computational methods
mathematical methods
statistical methods
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Kate Hong
Carnegie Mellon University United States of America
computational methods
mathematical methods
statistical methods
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Maysam Chamanzar
Carnegie Mellon University United States of America
computational methods
mathematical methods
statistical methods
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Nick Tawn
University of Warwick United Kingdom
sequential monte carlo
monte carlo methodology
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Mike Giles
University of Oxford United Kingdom
monte carlo methods
multilevel monte carlo methods
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Geoff Nicholls
University of Oxford United Kingdom
monte carlo methods
variational methods
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Yuling Yao
University of Texas at Austin United States of America
monte carlo methods
mcmc methods
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James Scott
University of Texas at Austin United States of America
monte carlo methods
mcmc methods
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John Zito
Duke University Singapore
sequential monte carlo
statistical methods
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Richard Cook
University of Waterloo Canada
sequential methods
statistical methods
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Kostas Kalogeropoulos
London School of Economics and Political Science United Kingdom
markov chain sequential monte carlo
computational methods
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Jacob Fish
Columbia University United States of America
stochastic multiscale methods
reduced order multiscale methods
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Herta Fitzer
University of Heidelberg Germany
numerical methods
multiscale methods
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Barbara Verfürth
University of Bonn Germany
numerical methods
multiscale methods
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Hans De Sterck
University of Waterloo Canada
numerical methods
multilevel numerical linear algebra methods
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Ned Nedialkov
McMaster University Canada
numerical methods
interval numerical methods
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Antonio Linero
University of Texas at Austin United States of America
mcmc methods
monte carlo
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David Goluskin
University of Victoria Canada
computational methods
variational methods
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Mevin Hooten
University of Texas at Austin United States of America
mcmc methods
monte carlo
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