Bayesian Decision Theory Professors in Global

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Peter Mueller
University of Texas at Austin United States of America
bayesian bioinformatics
nonparametric bayesian inference
computational methods in bayesian inference
statistical decision problems
bayesian adaptive clinical trial design
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Yanan Fan
University of New South Wales Australia
bayesian inference
bayesian computation
bayesian nonparametrics
approximate bayesian computation
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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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Debdeep Pati
University of Wisconsin–Madison United States of America
bayesian methods
bayesian graphical models
efficient bayesian computation
approximate bayesian methods
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Trevor Campbell
University of British Columbia Canada
bayesian theory
bayesian inference
bayesian nonparametrics
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Alina Ferecatu
Erasmus University Rotterdam Netherlands
bayesian analysis
behavioral decision making
decision heuristics
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Vinayak Rao
Purdue University United States of America
decision theory
bayesian computational methods
statistical inference
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Dabao Zhang
Purdue University United States of America
decision theory
bayesian
statistical inference
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Guanyu Hu
Michigan State University United States of America
bayesian computation
bayesian nonparametric
big data inference
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Theo Damoulas
University of Warwick United Kingdom
bayesian statistics
bayesian nonparametrics
probabilistic machine learning
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Umberto Picchini
Chalmers University of Technology Sweden
bayesian computational methods
approximate bayesian computation
statistical inference
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Yee Teh
University of Oxford United Kingdom
bayesian statistics
bayesian nonparametrics
probabilistic learning
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Torkel Erhardsson
Linköping University Sweden
bayesian inference
probability theory
statistical inference
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Takoua Jendoubi
University College London United Kingdom
bayesian statistics
bayesian nonparametrics
probabilistic models
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Umberto Picchini
University of Gothenburg Sweden
bayesian computational methods
approximate bayesian computation
statistical inference
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Daniel Roy
University of Toronto Canada
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decision theory
sequential decision making
statistical learning theory
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Nikolay Malkin
University of Edinburgh United Kingdom
bayesian machine learning
probabilistic reasoning
machine reasoning
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Dong Xu
University of Manchester United Kingdom
decision theory
decision making
multiple attribute decision analysis
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Nick Whiteley
University of Bristol United Kingdom
bayesian modelling
probabilistic modelling
statistical inference
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Barbara Fasolo
London School of Economics and Political Science United Kingdom
decision analysis
behavioural decision science
judgment and decision making
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Morgane Austern
Harvard University United States of America
machine learning theory
probability theory
statistical inference
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