Stochastic Network Theory Professors in Global

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A.c.c. Coolen
Radboud University Netherlands
stochastic processes
random networks
neural networks
statistical inference
machine learning
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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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Kavita Ramanan
Brown University United States of America
stochastic networks
stochastic analysis
stochastic processes
probability theory
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William Massey
Princeton University United States of America
stochastic networks
stochastic analysis
stochastic dominance
queueing theory
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Balaji Prabhakar
Stanford University United States of America
stochastic network theory
network algorithms
data networks
probability theory
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Devavrat Shah
Massachusetts Institute of Technology United States of America
stochastic networks
network information theory
network algorithms
statistical inference
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Wei Sun
Concordia University Canada
stochastic analysis
stochastic dynamical systems
stochastic differential equations
probability theory
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Markus Riedle
King's College London United Kingdom
stochastic analysis
stochastic processes
stochastic differential equations
probability theory
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Gareth Roberts
University of Warwick United Kingdom
stochastic simulation
stochastic processes
stochastic differential equations
statistical inference
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Sigurd Assing
University of Warwick United Kingdom
stochastic analysis
stochastic control systems
probability theory
machine learning
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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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John Oommen
Carleton University Canada
stochastic learning
stochastic automata
statistical pattern recognition
neural networks
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Mark Van Oyen
University of Michigan United States of America
stochastic optimization
online stochastic optimization
queueing networks
machine learning
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Khader Khadraoui
Laval University Canada
stochastic processes
statistical theory modeling
stochastic differential equations
statistical inference
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Moritz Schauer
Chalmers University of Technology Sweden
dynamical stochastic models
statistical theory
stochastic differential equations
statistical inference
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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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Ingemar Kaj
Uppsala University Sweden
stochastic models
stochastic dynamics
stochastic processes
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Nasser Barjesteh
University of Toronto Canada
stochastic modeling
stochastic control
complex stochastic systems
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Jose Figueroa-lopez
Purdue University United States of America
stochastic analysis
stochastic control
stochastic processes
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David Landriault
University of Waterloo Canada
stochastic modelling
stochastic processes
stochastic control problems
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Jin Ma
University of Southern California United States of America
stochastic control theory
stochastic analysis
stochastic differential equations
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