Bayesian Model Selection Professors in Global

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Debdeep Pati
University of Wisconsin–Madison United States of America
bayesian graphical models
bayesian methods
efficient bayesian computation
approximate bayesian methods
machine learning
hierarchical modeling
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Yanan Fan
University of New South Wales Australia
bayesian computation
bayesian inference
bayesian nonparametrics
approximate bayesian computation
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Sharmistha Guha
Texas A&M University United States of America
bayesian high dimensional regression
bayesian object-oriented regression
bayesian causal inference
bayesian nonparametric mixture models
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Mayank Chadha
University of California, San Diego United States of America
bayesian decision theory
bayesian optimization
machine learning
geometrically exact modeling
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Benoit Liquet-weiland
Macquarie University Australia
bayesian modelling
model selection
machine learning
variable selection
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Yee Teh
University of Oxford United Kingdom
bayesian statistics
bayesian nonparametrics
machine learning
large scale machine learning
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Peter Mueller
University of Texas at Austin United States of America
bayesian bioinformatics
computational methods in bayesian inference
nonparametric bayesian inference
bayesian adaptive clinical trial design
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Hina Shaheen
University of Manitoba Canada
bayesian inference
machine learning
computational modelling
statistical machine learning
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Qifan Song
Purdue University United States of America
bayesian data science
model selection
machine learning
massive data modeling
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Dabao Zhang
Purdue University United States of America
bayesian
model selection
machine learning
massive data modeling
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Trevor Campbell
University of British Columbia Canada
bayesian inference
bayesian theory
bayesian nonparametrics
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Edson Utazi
University of Southampton United Kingdom
bayesian computation
bayesian inference
machine learning
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Paul Arora
University of Toronto Canada
bayesian networks
bayesian statistics
machine learning
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Alexander Hartemink
Duke University Singapore
bayesian networks
bayesian statistics
machine learning
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Michele Guindani
University of California, Irvine United States of America
bayesian modeling
nonparametric bayesian models
machine learning
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Arman Sabbaghi
Purdue University United States of America
bayesian data analysis
model selection
machine learning
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Umberto Picchini
Chalmers University of Technology Sweden
bayesian computational methods
approximate bayesian computation
stochastic modelling
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Umberto Picchini
University of Gothenburg Sweden
bayesian computational methods
approximate bayesian computation
stochastic modelling
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James Booth
Cornell University Netherlands
bayesian analysis
model selection
machine learning
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Takoua Jendoubi
University College London United Kingdom
bayesian statistics
bayesian nonparametrics
probabilistic models
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Dan Kowal
Cornell Bowers University United States of America
bayesian analysis
model selection
machine learning
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