Bayesian Data Science Professors in Global

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Debdeep Pati
University of Wisconsin–Madison United States of America
bayesian methods
bayesian graphical models
efficient bayesian computation
approximate bayesian methods
machine learning
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Dabao Zhang
Purdue University United States of America
bayesian
data mining
statistical inference
massive data modeling
machine learning
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Ismaila Ba
University of Toronto Canada
data science
variational bayesian methods
statistical inference
theoretical statistics
statistical computing
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Yiyu Yao
University of Regina Canada
data science
data mining
data analysis
machine learning
data analytics
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Sijing Zhou
University of Melbourne Australia
large-scale data mining
statistical modeling
multidimensional data analysis
computational statistics
machine learning
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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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Guanyu Hu
Michigan State University United States of America
bayesian computation
bayesian nonparametric
big data inference
statistical theory
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François Caron
University of Oxford United Kingdom
bayesian statistics
bayesian nonparametrics
statistical machine learning
computational statistics
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Michele Guindani
University of California, Irvine United States of America
bayesian modeling
data science
nonparametric bayesian models
machine learning
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Sharmistha Guha
Texas A&M University United States of America
bayesian high dimensional regression
bayesian causal inference
bayesian object-oriented regression
bayesian nonparametric mixture models
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Andrew Casey
Monash University Australia
bayesian statistics
ai data science
data analysis
machine learning
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Yee Teh
University of Oxford United Kingdom
bayesian statistics
bayesian nonparametrics
computational statistics
machine learning
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Umberto Picchini
Chalmers University of Technology Sweden
bayesian computational methods
approximate bayesian computation
statistical inference
stochastic modelling
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Umberto Picchini
University of Gothenburg Sweden
bayesian computational methods
approximate bayesian computation
statistical inference
stochastic modelling
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Kaisey Mandel
University of Cambridge United Kingdom
bayesian modelling
data science
statistical computation
machine learning
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John Lau
University of Western Australia Australia
bayesian statistics
bayesian nonparametric statistics
computational statistics
statistical computing
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Michael Zhu
Purdue University United States of America
bayesian computational methods
data mining
statistical inference
machine learning
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Dave Campbell
Carleton University Canada
bayesian algorithms
inferential data science
computational statistics
machine learning
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Hina Shaheen
University of Manitoba Canada
bayesian inference
statistical machine learning
data analysis
machine learning
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Bradley Efron
Stanford University United States of America
bayesian statistics
statistical inference
computational statistics
machine learning
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James Norris
University of Cambridge United Kingdom
bayesian inference
data analysis
statistical modeling
statistical theory
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