Stochastic Network Models Professors in Global

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Harold Kushner
Brown University United States of America
stochastic networks
stochastic systems theory
stochastic control
complex stochastic systems
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Jose Figueroa-lopez
Purdue University United States of America
stochastic analysis
stochastic control
stochastic processes
continuous-time models
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Xenia Miscouridou
Imperial College London United Kingdom
statistical network modeling
stochastic process modeling
deep generative models
bayesian statistical machine learning
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John Oommen
Carleton University Canada
stochastic learning
stochastic automata
statistical pattern recognition
neural networks
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Wenpin Tang
Columbia University United States of America
stochastic analysis
continuous-time stochastic processes
machine learning
probabilistic ranking models
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Frederi Viens
Michigan State University United States of America
stochastic control
stochastic volatility
nonlinear stochastic filtering
stochastic pdes
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A.c.c. Coolen
Radboud University Netherlands
stochastic processes
random networks
neural networks
machine learning
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Khader Khadraoui
Laval University Canada
stochastic processes
stochastic differential equations
statistical theory modeling
high-dimensional probabilistic models
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Hina Shaheen
University of Manitoba Canada
statistical machine learning
probability stochastic processes
computational modelling
machine learning
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Mahdi Khodayar
The University of Tulsa Iran
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statistical pattern recognition
machine learning
probabilistic graphical models
deep neural networks
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Kavita Ramanan
Brown University United States of America
stochastic networks
stochastic analysis
stochastic processes
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Ingemar Kaj
Uppsala University Sweden
stochastic models
stochastic processes
stochastic dynamics
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Richard Serfozo
Georgia Institute of Technology United States of America
stochastic networks
stochastic processes
optimization of stochastic systems
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David Landriault
University of Waterloo Canada
stochastic modelling
stochastic processes
stochastic control problems
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William Massey
Princeton University United States of America
stochastic networks
stochastic analysis
stochastic dominance
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Nasser Barjesteh
University of Toronto Canada
stochastic modeling
stochastic control
complex stochastic systems
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James Spall
Johns Hopkins University United States of America
stochastic systems
stochastic optimization
neural networks
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Anastasiia Olshevska
Technical University of Berlin Germany
stochastic analysis
stochastic processes
mathematical stochastics
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Magnus Röding
Chalmers University of Technology Sweden
stochastic modeling
statistical modeling
machine learning
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Pavel Gapeev
London School of Economics United Kingdom
stochastic analysis
stochastic games
stochastic control problems
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Sigurd Assing
University of Warwick United Kingdom
stochastic analysis
stochastic control systems
machine learning
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