Inferential Statistics Professors in Global

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John Lau
University of Western Australia Australia
computational statistics
bayesian statistics
bayesian nonparametric statistics
statistical computing
applied statistics
statistical filtering
statistical clustering
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Gareth Roberts
University of Warwick United Kingdom
statistical inference
computational statistics
bayesian statistics
statistics
statistical methodology
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Rina Foygel Barber
University of Chicago United States of America
statistical inference
statistical estimation
high dimensional statistics
shape-constrained inference
distribution-free inference
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Nazim Khan
University of Western Australia Australia
computational statistics
statistical computing
applied statistics
stochastic modelling
statistical clustering
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Maria Kateri
RWTH Aachen University Germany
bayesian statistics
high-dimensional statistics
statistical information theory
multivariate statistics
stochastic modelling
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Ismaila Ba
University of Toronto Canada
statistical inference
theoretical statistics
spatial statistics
statistical computing
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Abhishek Chakrabortty
Texas A&M University United States of America
statistical inference
bayesian inference
causal inference
statistics
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Michael Evans
University of Toronto Canada
statistical inference
theoretical statistics
mathematical statistics
statistical computing
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Nancy Reid
University of Toronto Canada
inference
theoretical statistics
likelihood inference
statistical theory
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Feng Chen
University of New South Wales Australia
statistical inference
semiparametric statistics
nonparametric statistics
statistical computing
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Richard Border
Carnegie Mellon University United States of America
statistical inference
bayesian inference
statistical learning
statistical genetics
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Andrey Feuerverger
University of Toronto Canada
theoretical statistics
mathematical statistics
statistical inverse problems
statistical theory
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Katharina Proksch
University of Twente Netherlands
statistical inference
statistical inverse problems
non-parametric asymptotic statistics
statistical multiscale analysis
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Christian Jørgensen
Aalborg University Denmark
statistical inference
statistical modelling
statistics
multivariate statistics
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Dae Ham
University of Michigan United States of America
randomization inference
non-parametric statistics
causal inference
adaptive sequential inference
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Victor Panaretos
École Polytechnique Fédérale de Lausanne Switzerland
statistical inference
statistical theory
multivariate statistics
regression modeling
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Raaz Dwivedi
Cornell University Netherlands
bayesian inference
statistical machine learning
causal inference
high-dimensional statistics
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Wenlong Mou
University of Toronto Canada
theoretical statistics
mathematical statistics
statistical computing
statistical learning
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James Norris
University of Cambridge United Kingdom
mathematical statistics
bayesian inference
statistical theory
statistical modeling
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Tony Cai
University of Pennsylvania United States of America
large-scale inference
statistical machine learning
high-dimensional statistics
statistical decision theory
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Berwin Turlach
University of Western Australia Australia
computational statistics
statistical computing
statistical learning
applied statistics
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