Multilevel Monte Carlo Method Professors in Global

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Jim Morel
Texas A&M University United States of America
monte carlo methods
multilevel solution techniques
multiphysics methods
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Mike Giles
University of Oxford United Kingdom
multilevel monte carlo methods
monte carlo methods
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Nick Tawn
University of Warwick United Kingdom
monte carlo methodology
sequential monte carlo
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Nicolas Hadjiconstantinou
Massachusetts Institute of Technology United States of America
monte carlo methods
multiscale simulation methods
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Alex Bielajew
University of Michigan United States of America
monte carlo variance reduction
general-purpose monte carlo code development
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Jacob Fish
Columbia University United States of America
stochastic multiscale methods
reduced order multiscale methods
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Søren Taverniers
Stanford University United States of America
multilevel monte carlo method
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Lajos Gyurko
University of Oxford United Kingdom
multi-level monte carlo methods
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Dae Han
Yale School of Medicine United States of America
monte carlo method
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Zhen Tian
University of Chicago United States of America
monte carlo method
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T.j.h. Vlugt
Delft University of Technology Netherlands
monte carlo method
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Christoph Reisinger
University of Oxford United Kingdom
multilevel multi-index monte carlo
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Cameron Kofler
University of Chicago United States of America
monte carlo method
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Christopher Tien
Yale University United States of America
monte carlo method
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Jose Blanchet
Stanford University United States of America
monte carlo methods
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Henry Lam
Columbia University United States of America
monte carlo methods
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Vera Guelpers
University of Edinburgh United Kingdom
monte carlo methods
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Aaron Morris
Purdue University United States of America
monte carlo methods
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Frank Dellaert
Georgia Institute of Technology United States of America
monte carlo methods
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Mathieu Gerber
University of Bristol United Kingdom
monte carlo methods
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Esam Hussein
University of Regina Canada
monte carlo methods
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