Bayesian Decision Theory Professors in Global

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Sharmistha Guha
Texas A&M University United States of America
bayesian causal inference
bayesian high dimensional regression
bayesian object-oriented regression
bayesian nonparametric mixture models
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Torkel Erhardsson
Linköping University Sweden
bayesian inference
probability theory
statistical inference
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Morgane Austern
Harvard University United States of America
machine learning theory
probability theory
statistical inference
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Mayank Chadha
University of California, San Diego United States of America
bayesian decision theory
bayesian optimization
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Jun Zhang
University of Michigan United States of America
bayesian decision theory
decision-making
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Kd Dang
University of Western Australia Australia
bayesian inference
bayesian statistics
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Valen Johnson
Texas A&M University United States of America
bayesian variable selection
bayesian hypothesis testing
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Andrew Gronewold
University of Michigan United States of America
bayesian inference
probability theory
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Ricardo Baptista
California Institute of Technology United States of America
bayesian inference
probabilistic modeling
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Abhishek Chakrabortty
Texas A&M University United States of America
bayesian inference
statistical inference
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Moritz Schauer
Chalmers University of Technology Sweden
bayesian inference
statistical inference
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Richard Border
Carnegie Mellon University United States of America
bayesian inference
statistical inference
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Jaehee Kim
Cornell University Netherlands
bayesian inference
statistical inference
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Alexander Wein
University of California, Davis United States of America
bayesian inference
statistical inference
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John Lau
University of Western Australia Australia
bayesian statistics
bayesian nonparametric statistics
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Maximilian Kasy
University of Oxford United Kingdom
statistical decision theory
algorithmic decision making
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Jonathan Pillow
Princeton University United States of America
bayesian optimization
perceptual decision making
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Bruce Craig
Purdue University United States of America
bayesian methodology
statistical inference
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Bruce Craig
Purdue University United States of America
bayesian methodology
statistical inference
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Geoff Pleiss
University of British Columbia Canada
bayesian optimization
probabilistic modeling
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Umberto Picchini
Chalmers University of Technology Sweden
bayesian computational methods
approximate bayesian computation
statistical inference
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