Approximate Bayesian Methods Professors in Global

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Debdeep Pati
University of Wisconsin–Madison United States of America
approximate bayesian methods
bayesian methods
efficient bayesian computation
bayesian graphical models
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Yanan Fan
University of New South Wales Australia
approximate bayesian computation
bayesian computation
bayesian inference
bayesian nonparametrics
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Paul Arora
University of Toronto Canada
bayesian statistics
bayesian networks
statistical methods
comparative effectiveness methods
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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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Umberto Picchini
University of Gothenburg Sweden
approximate bayesian computation
bayesian computational methods
likelihood-free methods
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Haziq Jamil
London School of Economics and Political Science United Kingdom
approximate bayesian methods
statistical methods
scalable estimation methods
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Ammar Sarhan
Dalhousie University Canada
bayesian methods
non-bayesian methods
statistical methods
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Geoff Nicholls
University of Oxford United Kingdom
bayesian statistical methods
applied bayesian inference
variational methods
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Theo Damoulas
University of Warwick United Kingdom
approximate inference methodologies
bayesian statistics
bayesian nonparametrics
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Trevor Campbell
University of British Columbia Canada
bayesian inference
bayesian theory
bayesian nonparametrics
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Tom Rainforth
University of Oxford United Kingdom
approximate inference
bayesian experimental design
probabilistic data-efficient approaches
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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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Oleg Pikhurko
University of Warwick United Kingdom
probabilistic methods
algebraic methods
analytic methods
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Moses Chan
Northwestern University United States of America
bayesian emulation
computational methods
gaussian process methods
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Mohammad Salavatipour
University of Alberta Canada
approximation algorithms
hardness approximation
probabilistic randomized algorithms
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John Anderson
Carnegie Mellon University United States of America
mathematical methods
computational methods
statistical methods
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Dave Touretzky
Carnegie Mellon University United States of America
mathematical methods
computational methods
statistical methods
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Herta Fitzer
University of Heidelberg Germany
bayesian inference
numerical methods
multiscale methods
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Monique Laurent
Tilburg University Netherlands
algebraic methods
combinatorial methods
geometric 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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Caleb Pomeroy
University of Toronto Canada
computational methods
statistical methods
experimental methods
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