Approximate Bayesian Methods Professors in Global

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Paul Arora
University of Toronto Canada
bayesian statistics
bayesian networks
statistical methods
comparative effectiveness methods
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Jun Zhang
University of Michigan United States of America
quantitative methods
bayesian decision theory
qualitative approaches
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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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Northwestern University United States of America
qualitative methods
experimental methods
interpretive methods
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Harold Kushner
Brown University United States of America
approximation methods
optimization methods
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Trevor Campbell
University of British Columbia Canada
bayesian inference
bayesian theory
bayesian nonparametrics
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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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Kd Dang
University of Western Australia Australia
bayesian inference
bayesian statistics
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Alice Corbella
University of Warwick United Kingdom
bayesian inference
statistical methods
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Stephen Stigler
University of Chicago United States of America
bayesian inference
statistical methods
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John Zito
Duke University Singapore
bayesian inference
statistical methods
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Camila De Souza
Western University Canada
bayesian inference
statistical methods
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Tingting Zhu
University of Oxford United Kingdom
bayesian inference
probabilistic techniques
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Daniel Lawson
University of Bristol United Kingdom
bayesian modeling
statistical methods
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Moses Chan
Northwestern University United States of America
bayesian emulation
computational methods
gaussian process methods
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Michele Guindani
University of California, Irvine United States of America
bayesian modeling
nonparametric bayesian models
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Julija Zavadlav
Technical University of Munich Germany
bayesian modeling
predictive computational methods
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Herta Fitzer
University of Heidelberg Germany
bayesian inference
numerical methods
multiscale methods
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Chris Cahill
Michigan State University United States of America
bayesian modeling
simulation methods
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Nikolaos Ignatiadis
University of Chicago United States of America
empirical bayes analysis
statistical methods
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Ben Tappin
London School of Economics United Kingdom
bayesian statistics
quantitative methods
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