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Bayesian Variable Selection
Bayesian Variable Selection Professors in Global
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Professor
Debdeep Pati
University of Wisconsin–Madison
United States of America
bayesian methods
bayesian graphical models
efficient bayesian computation
approximate bayesian methods
machine learning
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Professor
Yee Teh
University of Oxford
United Kingdom
bayesian statistics
bayesian nonparametrics
machine learning
large scale machine learning
probabilistic learning
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Professor
Yanan Fan
University of New South Wales
Australia
bayesian computation
bayesian inference
bayesian nonparametrics
approximate bayesian computation
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Professor
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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Professor
Umberto Picchini
Chalmers University of Technology
Sweden
bayesian computational methods
approximate bayesian computation
stochastic modelling
statistical inference
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Professor
Umberto Picchini
University of Gothenburg
Sweden
bayesian computational methods
approximate bayesian computation
stochastic modelling
statistical inference
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Professor
Quan Zhou
Texas A&M University
United States of America
bayesian methodology
variable selection
stochastic optimization
iterative algorithms
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Professor
Peter Mueller
University of Texas at Austin
United States of America
bayesian bioinformatics
nonparametric bayesian inference
computational methods in bayesian inference
bayesian adaptive clinical trial design
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Professor
Hina Shaheen
University of Manitoba
Canada
bayesian inference
machine learning
statistical machine learning
computational modelling
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Professor
Jaehee Kim
Cornell University
Netherlands
bayesian inference
machine learning
mathematical models
statistical inference
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Professor
Trevor Campbell
University of British Columbia
Canada
bayesian inference
bayesian theory
bayesian nonparametrics
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Professor
Edson Utazi
University of Southampton
United Kingdom
bayesian computation
bayesian inference
machine learning
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Professor
Mayank Chadha
University of California, San Diego
United States of America
bayesian optimization
bayesian decision theory
machine learning
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Professor
Benoit Liquet-weiland
Macquarie University
Australia
bayesian modelling
variable selection
machine learning
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Professor
Alexander Hartemink
Duke University
Singapore
bayesian statistics
bayesian networks
machine learning
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Professor
Paul Arora
University of Toronto
Canada
bayesian statistics
bayesian networks
machine learning
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Professor
Robin Ryder
Imperial College London
United Kingdom
bayesian computational statistics
approximate bayesian computation
stochastic modelling
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Professor
Theo Damoulas
University of Warwick
United Kingdom
bayesian statistics
bayesian nonparametrics
probabilistic machine learning
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Professor
François Caron
University of Oxford
United Kingdom
bayesian statistics
bayesian nonparametrics
statistical machine learning
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Professor
Michele Guindani
University of California, Irvine
United States of America
bayesian modeling
nonparametric bayesian models
machine learning
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Professor
John Lau
University of Western Australia
Australia
bayesian statistics
bayesian nonparametric statistics
statistical filtering
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