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Theoretical Predictions
Theoretical Predictions Professors in Global
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Professor
Jean-yves Pitarakis
University of Southampton
United Kingdom
predictive regressions
statistical theory
predictive accuracy testing
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Professor
Robert Nau
Duke University
Singapore
statistical forecasting
mathematical modeling
game theory
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Professor
Aram Bahrini
University of Illinois
United States of America
forecasting
mathematical modeling
game theory
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Professor
Michael Li
University of Alberta
Canada
data predictions
mathematical modeling
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Professor
Lennart Baardman
University of Michigan
United States of America
predictive techniques
mathematical modeling
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Professor
Andrey Feuerverger
University of Toronto
Canada
theoretical statistics
statistical theory
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Professor
Nancy Reid
University of Toronto
Canada
theoretical statistics
statistical theory
likelihood inference
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Professor
Magnus Ross
University College London
United Kingdom
time series forecasting
probabilistic machine learning
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Professor
Garvesh Raskutti
University of Wisconsin–Madison
United States of America
theoretical statistics
large-scale inference
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Professor
Allan Sly
Princeton University
United States of America
theoretical statistics
theoretical computer science
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Professor
Samuel Muller
Macquarie University
Australia
predictive methods
statistical models
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Professor
John Mccoy
University of Pennsylvania
United States of America
forecasting
mathematical models
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Professor
Henrik Madsen
Technical University of Denmark
Denmark
forecasting
mathematical modeling
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Professor
Jingsong Yuan
University of Manchester
United Kingdom
forecasting
statistical modelling
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Professor
Charbel Farhat
Stanford University
United States of America
probabilistic machine learning
mathematical models
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Professor
Thomas Swinburne
University of Michigan
United States of America
forecasting
statistical models
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Professor
Narayanaswamy Balakrishnan
McMaster University
Canada
probabilistic models
statistical models
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Professor
Lyle Ungar
University of Pennsylvania
United States of America
prediction markets
forecasting methods
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Professor
Henrik Boström
KTH Royal Institute of Technology
Sweden
probabilistic machine learning
conformal prediction
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Professor
Mark Campbell
Cornell University
Netherlands
estimation theory
probabilistic perception
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Professor
Haiyan Liu
Michigan State University
United States of America
statistical theory
mathematical modeling
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