Stochastic Time Fractional Diffusion Models Professors in Global

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Hina Shaheen
University of Manitoba Canada
statistical machine learning
probability stochastic processes
computational modelling
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Nick Whiteley
University of Bristol United Kingdom
high-dimensional dynamic stochastic systems
bayesian modelling
probabilistic modelling
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Eric Sigmund
New York University United States of America
diffusion-weighted imaging
diffusion tensor imaging
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Edwin Kolbe
University of Basel Switzerland
microscopic models
statistical model
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Michael Monoyios
University of Oxford United Kingdom
stochastic portfolio theory
stochastic control
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Adji Dieng
Princeton University United States of America
statistical machine learning
probabilistic modeling
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Bryon Aragam
University of Chicago Booth School of Business United States of America
statistical machine learning
probabilistic modeling
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Sudipto Banerjee
University of California Los Angeles United States of America
stochastic processes
statistical machine learning
bayesian modeling
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René Carmona
Princeton University United States of America
stochastic partial differential equations
stochastic analysis
forward-backward stochastic differential equations
stochastic control
large stochastic differential games
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Joao Santos
University of Twente Netherlands
statistical machine learning
computational models
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Alexandre Bouchard-côté
University of British Columbia Canada
statistical machine learning
probabilistic modelling
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Christoph Reisinger
University of Oxford United Kingdom
stochastic control
mathematical computational modeling
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Rukayya Ibrahim
Penn State Harrisburg United States of America
spatio-temporal data modeling
multivariate time series models
high dimensional time series models
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Yang Chen
University of Michigan United States of America
spatial-temporal data analysis
bayesian modeling
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Roger Ghanem
University of Southern California United States of America
computational stochastic mechanics
probabilistic multi-scale modeling
probabilistic modeling
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Roger Ghanem
University of Southern California United States of America
computational stochastic mechanics
probabilistic multi-scale modeling
probabilistic modeling
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Christian Kleiber
University of Basel Switzerland
stochastic orders
statistical distributions
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Samuel Paskewitz
Yale University United States of America
bayesian latent variable models
computational models
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Heather Graven
Imperial College London United Kingdom
biospheric modeling
atmospheric modeling
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Michael Sørensen
University of Copenhagen Denmark
stochastic processes
modeling stochastic differential equations
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Siqian Shen
University of Michigan United States of America
stochastic programming
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