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Computational Methods In Bayesian Inference
Computational Methods In Bayesian Inference Professors in Global
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Professor
Alexander Hartemink
Duke University
Singapore
bayesian networks
bayesian statistics
computational neurobiology
computational biology
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Professor
Paul Arora
University of Toronto
Canada
causal inference methods
statistical methods
bayesian networks
bayesian statistics
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Professor
Kate Hong
Carnegie Mellon University
United States of America
computational methods
mathematical methods
statistical methods
behavioral methods
physiological methods
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Professor
Benjamin Zwick
University of Western Australia
Australia
numerical methods
computational biomechanics
computational biophysics
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Professor
Debdeep Pati
University of Wisconsin–Madison
United States of America
bayesian methods
approximate bayesian methods
efficient bayesian computation
bayesian graphical models
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Professor
Mayank Chadha
University of California, San Diego
United States of America
bayesian optimization
bayesian decision theory
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Professor
Peter Mueller
University of Texas at Austin
United States of America
computational methods in bayesian inference
bayesian bioinformatics
nonparametric bayesian inference
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Professor
John Anderson
Carnegie Mellon University
United States of America
computational methods
mathematical methods
statistical methods
behavioral methods
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Professor
Mike Tarr
Carnegie Mellon University
United States of America
mathematical methods
statistical methods
behavioral methods
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Professor
Daniel Lawson
University of Bristol
United Kingdom
statistical methods
bayesian modeling
mathematical techniques
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Professor
Hermann Eberl
University of Guelph
Canada
computational biomathematics
numerical methods
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Professor
Barbara Shinn-cunningham
Carnegie Mellon University
United States of America
mathematical & statistical methods
behavioral methods
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Professor
Matthew Smith
Carnegie Mellon University
United States of America
mathematical & statistical methods
behavioral methods
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Professor
Zak Varty
Imperial College London
United Kingdom
statistical methods
bayesian statistics
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Professor
Lorenzo Pellis
University of Manchester
United Kingdom
statistical methods
bayesian statistics
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Professor
Lorenzo Pellis
University of Manchester
United Kingdom
statistical methods
bayesian statistics
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Professor
Frantzeska Lavda
University of Geneva
Switzerland
statistical methods
bayesian statistics
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Professor
Valen Johnson
Texas A&M University
United States of America
bayesian variable selection
bayesian hypothesis testing
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Professor
Alice Richardson
Australian National University
Australia
data mining methods
statistical methods for large datasets
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Professor
Shamil Sunyaev
Harvard Medical School
United States of America
statistical methods
computational genomics
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Professor
Michael Sørensen
University of Copenhagen
Denmark
statistical methods
simulation-based inference
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