Stochastic Processes Professors in Global

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Jiawei Li
University of Edinburgh United Kingdom
probabilistic stochastic methods
stochastic partial differential equations
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Mihaela Vlasea
University of Waterloo Canada
process modeling
process optimization
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Ramdhane Dhib
Toronto Metropolitan University Canada
process modeling
process optimization
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Mikael Ersson
KTH Royal Institute of Technology Sweden
process optimization
metallurgical processes
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Farzad Mousazadeh
Delft University of Technology Netherlands
process optimization
dynamic process simulation
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Jacob Lesinski
ETH Zurich Switzerland
process optimization
bio-based processes
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Nick Whiteley
University of Bristol United Kingdom
high-dimensional dynamic stochastic systems
probabilistic modelling
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Suhasini Subba Rao
Texas A&M University United States of America
nonstationary processes
nonlinear processes
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Joshua Betz
Johns Hopkins University United States of America
statistical programming
statistical computing
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Ege Rubak
Aalborg University Denmark
spatial point processes
statistical models
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Sébastien Roy
University of Sherbrooke Canada
space-time processing
signal processing
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Sébastien Roy
University of Sherbrooke Canada
space-time processing
signal processing
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Stefano Galelli
Cornell University Netherlands
process-based modeling
statistical learning
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Stefano Galelli
Cornell University Netherlands
process-based modeling
statistical learning
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Mircea Grigoriu
Cornell University Netherlands
stochastic calculus
stochastic differential equations
stochastic partial differential equations
numerical methods for solving stochastic problems
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Uta Noppeney
Radboud University Netherlands
probabilistic computations
neural processing
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Mahdi Cheraghchi
Imperial College London United Kingdom
randomized computation
signal processing
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Hyebin Song
Pennsylvania State University United States of America
statistical computing
statistical learning
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Berwin Turlach
University of Western Australia Australia
statistical computing
statistical learning
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Wenlong Mou
University of Toronto Canada
statistical computing
statistical learning
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John Lau
University of Western Australia Australia
statistical computing
statistical filtering
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