Bayesian Estimators Professors in Global

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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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Umberto Picchini
Chalmers University of Technology Sweden
bayesian computational methods
approximate bayesian computation
stochastic modelling
statistical inference
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Umberto Picchini
University of Gothenburg Sweden
bayesian computational methods
approximate bayesian computation
stochastic modelling
statistical inference
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Jaehee Kim
Cornell University Netherlands
bayesian inference
mathematical models
machine learning
statistical inference
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Edson Utazi
University of Southampton United Kingdom
bayesian computation
bayesian inference
machine learning
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Takoua Jendoubi
University College London United Kingdom
bayesian statistics
bayesian nonparametrics
probabilistic models
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Alexander Hartemink
Duke University Singapore
bayesian statistics
bayesian networks
machine learning
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Paul Arora
University of Toronto Canada
bayesian statistics
bayesian networks
machine learning
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Theo Damoulas
University of Warwick United Kingdom
bayesian statistics
bayesian nonparametrics
probabilistic machine learning
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François Caron
University of Oxford United Kingdom
bayesian statistics
bayesian nonparametrics
statistical machine learning
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Yee Teh
University of Oxford United Kingdom
bayesian statistics
bayesian nonparametrics
machine learning
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Robin Ryder
Imperial College London United Kingdom
bayesian computational statistics
approximate bayesian computation
stochastic modelling
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Debdeep Pati
University of Wisconsin–Madison United States of America
bayesian methods
bayesian graphical models
approximate bayesian methods
efficient bayesian computation
machine learning
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Peter Mueller
University of Texas at Austin United States of America
bayesian bioinformatics
nonparametric bayesian inference
computational methods in bayesian inference
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Christopher Messenger
University of Glasgow United Kingdom
bayesian analysis
parameter estimation
machine learning
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Charbel Farhat
Stanford University United States of America
bayesian optimization
probabilistic machine learning
mathematical models
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Geoff Pleiss
University of British Columbia Canada
bayesian optimization
probabilistic machine learning
machine learning
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Hina Shaheen
University of Manitoba Canada
bayesian inference
statistical machine learning
machine learning
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Olga Vitek
Purdue University United States of America
bayesian analysis
machine learning
statistical inference
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Nick Whiteley
University of Bristol United Kingdom
bayesian modelling
probabilistic modelling
statistical inference
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Zoubin Ghahramani
University of Cambridge United Kingdom
bayesian statistics
probabilistic modelling
machine learning
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