Bayesian Seminonparametrics Professors in Global

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Yanan Fan
University of New South Wales Australia
bayesian nonparametrics
bayesian computation
bayesian inference
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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Vinayak Rao
Purdue University United States of America
bayesian computational methods
machine learning
nonparametric regression
statistical inference
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François Caron
University of Oxford United Kingdom
bayesian nonparametrics
bayesian statistics
statistical machine learning
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Theo Damoulas
University of Warwick United Kingdom
bayesian nonparametrics
bayesian statistics
probabilistic machine learning
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Yee Teh
University of Oxford United Kingdom
bayesian nonparametrics
bayesian statistics
machine learning
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Hanlin Shang
Macquarie University Australia
semiparametric statistics
bayesian econometrics
nonparametric statistics
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Edson Utazi
University of Southampton United Kingdom
bayesian computation
bayesian inference
machine learning
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Camila De Souza
Western University Canada
semi-parametric models
bayesian inference
nonparametric regression
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Alexander Hartemink
Duke University Singapore
bayesian networks
bayesian statistics
machine learning
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Paul Arora
University of Toronto Canada
bayesian networks
bayesian statistics
machine learning
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Bani Mallick
Texas A&M University United States of America
semiparametric models
bayesian statistics
machine learning
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Peter Mueller
University of Texas at Austin United States of America
nonparametric bayesian inference
bayesian bioinformatics
computational methods in bayesian inference
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Yaozhong Hu
University of Alberta Canada
bayesian nonparametrics
machine learning
stochastic partial differential equations
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Chunming Zhang
University of Wisconsin–Madison United States of America
semi-parametric estimation
non-parametric estimation
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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Hina Shaheen
University of Manitoba Canada
bayesian inference
statistical machine learning
machine learning
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Debdeep Pati
University of Wisconsin–Madison United States of America
bayesian graphical models
bayesian methods
approximate bayesian methods
machine learning
efficient bayesian computation
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Feng Chen
University of New South Wales Australia
semiparametric statistics
nonparametric statistics
statistical inference
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David Ruppert
Cornell University Netherlands
bayesian statistics
statistical machine learning
nonparametric regression
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