Stochastic Voting Professors in Global

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Hina Shaheen
University of Manitoba Canada
statistical machine learning
probability stochastic processes
machine learning
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Moritz Schauer
Chalmers University of Technology Sweden
dynamical stochastic models
statistical inference
stochastic differential equations
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Nathaniel Bastian
Pennsylvania State University United States of America
computational stochastic optimization
statistical computing
machine learning
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Maximilian Kasy
University of Oxford United Kingdom
algorithmic decision making
statistical decision theory
machine learning
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Barbara Bravi
Imperial College London United Kingdom
stochastic biochemical reactions
statistical inference
machine learning
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Mert Sabuncu
Cornell University Netherlands
probabilistic modeling
statistical inference
machine learning
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Da Zhao
University of Melbourne Australia
statistical modeling
machine learning
predictive modeling
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Galen Reeves
Duke University Singapore
statistical inference
statistical signal processing
machine learning
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Bruno Gächter
ZHAW Zurich University of Applied Sciences Switzerland
algorithmic decision-making
machine learning
predictive modeling
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A.c.c. Coolen
Radboud University Netherlands
stochastic processes
statistical inference
random networks
machine learning
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Rajesh Ranganath
New York University United States of America
statistical inference
probabilistic inference
machine learning
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David Scheinker
Stanford University United States of America
probabilistic modeling
statistical analysis
machine learning
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Mohammad Anam Khan
University of Toronto Canada
statistical inference
biostatistical analysis
machine learning
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David Criens
Albert-Ludwigs-Universität Freiburg Germany
interacting stochastic processes
nonlinear stochastic processes
stochastic partial differential equations
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Mircea Grigoriu
Cornell University Netherlands
stochastic calculus
stochastic differential equations
numerical methods for solving stochastic problems
stochastic partial differential equations
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Péter Szentkúti
Aarhus University Denmark
statistical analysis
statistical models
machine learning
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Mohamed Aburweis
Texas A&M University United States of America
statistical machine learning
statistical modeling
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Hossein Abouee Mehrizi
University of Waterloo Canada
complex stochastic systems
stochastic processes optimization
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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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Tatjana Pavlenko
Uppsala University Sweden
statistical machine learning
statistical inference
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