Stochastic Analysis Professors in Global

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A.c.c. Coolen
Radboud University Netherlands
stochastic processes
mathematical analysis
predictive analysis
statistical inference
machine learning
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Ansgar Steland
RWTH Aachen University Germany
stochastic processes
sequential analysis
statistical learning
stochastics applications
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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Gareth Roberts
University of Warwick United Kingdom
stochastic simulation
stochastic processes
stochastic differential equations
statistical inference
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Zhuo Jin
Macquarie University Australia
stochastic games
stochastic optimal control
textual analysis
numerical methods for stochastic systems
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David Matteson
Cornell University Netherlands
stochastic processes
spatial analysis
bayesian analysis
machine learning
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Magnus Röding
Chalmers University of Technology Sweden
stochastic modeling
statistical modeling
image analysis
machine learning
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Diyora Salimova
University of Freiburg Germany
computational stochastics
numerical analysis
stochastic differential equations
machine learning
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Hina Shaheen
University of Manitoba Canada
data analysis
statistical machine learning
probability stochastic processes
machine learning
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Bojana Rosic
University of Twente Netherlands
data analysis
statistical inference
multiscale analysis
machine learning
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Olga Vitek
Purdue University United States of America
data analysis
bayesian analysis
statistical inference
machine learning
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Jose Figueroa-lopez
Purdue University United States of America
stochastic analysis
stochastic processes
stochastic control
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Kavita Ramanan
Brown University United States of America
stochastic analysis
stochastic networks
stochastic processes
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Anastasiia Olshevska
Technical University of Berlin Germany
stochastic analysis
stochastic processes
mathematical stochastics
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William Massey
Princeton University United States of America
stochastic analysis
stochastic networks
stochastic dominance
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Pavel Gapeev
London School of Economics United Kingdom
stochastic analysis
stochastic games
stochastic control problems
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Markus Riedle
King's College London United Kingdom
stochastic analysis
stochastic processes
stochastic differential equations
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Wei Sun
Concordia University Canada
stochastic analysis
stochastic dynamical systems
stochastic differential equations
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Ingemar Kaj
Uppsala University Sweden
stochastic models
stochastic processes
stochastic dynamics
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Sigurd Assing
University of Warwick United Kingdom
stochastic analysis
stochastic control systems
machine learning
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David Landriault
University of Waterloo Canada
stochastic modelling
stochastic processes
stochastic control problems
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