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Distribution Prediction
Distribution Prediction Professors in Global
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Professor
Rina Foygel Barber
University of Chicago
United States of America
prediction
distribution-free inference
statistical estimation
statistical inference
conformal prediction
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Professor
Victor Panaretos
École Polytechnique Fédérale de Lausanne
Switzerland
statistical inference
probability theory
regression modeling
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Professor
Ze Jiang
University of New South Wales
Australia
forecasting
drought prediction
flood prediction
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Professor
Yindalon Aphinyanaphongs
New York University
United States of America
predictive analytics
translational predictive analytics
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Professor
Peter Fader
University of Pennsylvania
United States of America
predictive analytics
sales forecasting
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Professor
Hyukjun Gweon
Western University
Canada
predictive analytics
predictive model assessment
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Professor
Jethro Linley
University of Glasgow
United Kingdom
predictive analytics
statistical modelling
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Professor
Sandun Silva
Macquarie University
Australia
predictive analytics
statistical modelling
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Professor
Serge Provost
Western University
Canada
distribution theory
probabilistic models
statistical inference
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Professor
Tijs Donkers
Eindhoven University of Technology
Belgium
model predictive control
distributed optimization
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Professor
Aneesh Nunna
Technical University of Denmark
Denmark
model predictive control
data-driven predictive methods
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Professor
Mikkel Schmidt
Technical University of Denmark
Denmark
statistical inference
probability theory
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Professor
Torkel Erhardsson
Linköping University
Sweden
statistical inference
probability theory
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Professor
Aaron Childs
McMaster University
Canada
statistical inference
probability theory
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Professor
Youngtak Sohn
Brown University
United States of America
statistical inference
probability theory
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Professor
Morgane Austern
Harvard University
United States of America
statistical inference
probability theory
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Professor
Amir Dembo
Stanford University
United States of America
statistical inference
probability theory
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Professor
Antje Weisheimer
University of Oxford
United Kingdom
predictability
climate forecasting
weather forecasting
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Professor
Henrik Boström
KTH Royal Institute of Technology
Sweden
probabilistic machine learning
conformal prediction
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Professor
Konstantin Zuev
California Institute of Technology
United States of America
statistical inference
probability models
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Professor
Filip Schlembach
Maastricht University
Netherlands
conformal prediction
time series forecasts
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