Modeling Stochastic Systems Professors in Global

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Nick Whiteley
University of Bristol United Kingdom
probabilistic modelling
high-dimensional dynamic stochastic systems
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Serdar Yuksel
Queen's University Canada
stochastic stability
stochastic control theory
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Pavel Gapeev
London School of Economics United Kingdom
stochastic analysis
stochastic games
stochastic control problems
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Wei-chau Xie
University of Waterloo Canada
stochastic mechanics
applied mechanics stochastic systems
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Radek Erban
University of Oxford United Kingdom
stochastic simulation algorithms
multiscale modelling
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Jon Sporring
University of Copenhagen Denmark
stochastic geometry
computational modeling
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Matthew Ives
University of Oxford United Kingdom
complex systems modelling
energy systems modelling
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Vidvuds Ozolins
Yale University United States of America
computational modeling
statistical simulation
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Nan Kong
Purdue University United States of America
computational modeling
stochastic integer programming
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Nan Kong
Purdue University United States of America
computational modeling
stochastic integer programming
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Nan Kong
Purdue University United States of America
computational modeling
stochastic integer programming
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Jack Lee
King's College London United Kingdom
computational modeling
multiscale modeling
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Luke Miller
Radboud University Netherlands
computational modeling
neural network modeling
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Stanford University United States of America
stochastic modeling
computational modeling
logical modeling
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Arturo Molina-cristobal
University of Glasgow United Kingdom
modeling complex physical systems
model-based systems engineering
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Steve Easterbrook
University of Toronto Canada
computational modeling
climate modeling
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Robert Kohn
University of New South Wales Australia
time series modeling
model averaging
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David Hobson
University of Warwick United Kingdom
stochastic finance
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David Hobson
University of Warwick United Kingdom
stochastic finance
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Thomas Archibald
University of Edinburgh United Kingdom
stochastic dynamic programming
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Sheldon Ross
University of Southern California United States of America
stochastic dynamic programming
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