Likelihood Based Statistics Professors in Global

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John Lau
University of Western Australia Australia
bayesian statistics
computational statistics
bayesian nonparametric statistics
statistical filtering
statistical clustering
statistical computing
applied statistics
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Nazim Khan
University of Western Australia Australia
computational statistics
statistical clustering
statistical computing
applied statistics
probability
stochastic modelling
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Gareth Roberts
University of Warwick United Kingdom
bayesian statistics
computational statistics
statistical inference
statistical methodology
statistics
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Maria Kateri
RWTH Aachen University Germany
bayesian statistics
multivariate statistics
high-dimensional statistics
stochastic modelling
statistical information theory
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Wenlong Mou
University of Toronto Canada
theoretical statistics
mathematical statistics
statistical computing
probability
statistical learning
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Victor Panaretos
École Polytechnique Fédérale de Lausanne Switzerland
multivariate statistics
statistical inference
statistical theory
probability theory
regression modeling
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Ismaila Ba
University of Toronto Canada
theoretical statistics
spatial statistics
statistical inference
statistical computing
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Michael Evans
University of Toronto Canada
theoretical statistics
mathematical statistics
statistical inference
statistical computing
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Youngtak Sohn
Brown University United States of America
mathematical statistics
high-dimensional statistics
statistical inference
probability theory
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Christian Jørgensen
Aalborg University Denmark
multivariate statistics
statistical modelling
statistical inference
statistics
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Berwin Turlach
University of Western Australia Australia
computational statistics
statistical computing
applied statistics
statistical learning
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Sebastien Roch
University of Wisconsin–Madison United States of America
statistical methodology
statistical theory
statistical computing
applied statistics
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Raaz Dwivedi
Cornell University Netherlands
statistical machine learning
high-dimensional statistics
bayesian inference
random sampling
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Tony Cai
University of Pennsylvania United States of America
statistical machine learning
high-dimensional statistics
statistical decision theory
large-scale inference
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James Norris
University of Cambridge United Kingdom
mathematical statistics
statistical theory
statistical modeling
bayesian inference
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Feng Chen
University of New South Wales Australia
statistical inference
statistical computing
semiparametric statistics
nonparametric statistics
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Tao Ma
University of Southern California United States of America
statistics
probability
statistical
predictive analytics
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Thomas Severini
Northwestern University United States of America
likelihood-based statistics
statistical methodology
maximum likelihood estimation
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Nancy Reid
University of Toronto Canada
likelihood inference
theoretical statistics
statistical theory
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Krzysztof Latuszynski
University of Warwick United Kingdom
probabilistic algorithms
bayesian statistics
computational statistics
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Yuqi Gu
Columbia University United States of America
bayesian statistics
statistical machine learning
probabilistic graphical models
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