Stochastic Computing Professors in Global

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Gareth Roberts
University of Warwick United Kingdom
stochastic simulation
stochastic processes
stochastic differential equations
computational statistics
statistical inference
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Harold Kushner
Brown University United States of America
stochastic networks
stochastic control
stochastic systems theory
complex stochastic systems
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Nazim Khan
University of Western Australia Australia
stochastic modelling
statistical computing
statistical clustering
computational statistics
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René Carmona
Princeton University United States of America
stochastic analysis
stochastic control
large stochastic differential games
stochastic partial differential equations
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Frederi Viens
Michigan State University United States of America
stochastic control
nonlinear stochastic filtering
stochastic volatility
stochastic pdes
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Houman Owhadi
California Institute of Technology United States of America
stochastic mechanics
multi-scale stochastic analysis
machine learning
statistical numerical approximation
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Ansgar Steland
RWTH Aachen University Germany
stochastic processes
statistical learning
stochastics applications
machine learning
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Houman Owhadi
California Institute of Technology United States of America
stochastic mechanics
multi-scale stochastic analysis
machine learning
statistical numerical approximation
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Mircea Grigoriu
Cornell University Netherlands
stochastic calculus
stochastic differential equations
numerical methods for solving stochastic problems
stochastic partial differential equations
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John Lau
University of Western Australia Australia
statistical computing
statistical filtering
statistical clustering
computational statistics
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Frank Van Der Meulen
Vrije Universiteit Amsterdam Netherlands
stochastic processes
stochastic differential equations
bayesian computation
statistical inference
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Monika Eisenmann
Lund University Sweden
stochastic numerical analysis
stochastic differential equations
randomized algorithms
machine learning
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Berwin Turlach
University of Western Australia Australia
statistical computing
statistical learning
computational statistics
machine learning
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Hina Shaheen
University of Manitoba Canada
statistical machine learning
probability stochastic processes
computational modelling
machine learning
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Yee Teh
University of Oxford United Kingdom
computational statistics
large scale machine learning
machine learning
probabilistic learning
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Barbara Bravi
Imperial College London United Kingdom
stochastic biochemical reactions
machine learning
statistical inference
mathematical modelling
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David Scheinker
Stanford University United States of America
probabilistic modeling
machine learning
mathematical optimization
statistical analysis
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Kavita Ramanan
Brown University United States of America
stochastic networks
stochastic analysis
stochastic processes
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Jose Figueroa-lopez
Purdue University United States of America
stochastic analysis
stochastic processes
stochastic control
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Ingemar Kaj
Uppsala University Sweden
stochastic models
stochastic processes
stochastic dynamics
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David Landriault
University of Waterloo Canada
stochastic modelling
stochastic processes
stochastic control problems
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