Inference Statistics Professors in Global

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John Lau
University of Western Australia Australia
computational statistics
bayesian statistics
bayesian nonparametric statistics
applied statistics
statistical computing
statistical filtering
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Gareth Roberts
University of Warwick United Kingdom
statistical inference
computational statistics
statistics
bayesian statistics
statistical methodology
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Rina Foygel Barber
University of Chicago United States of America
statistical inference
statistical estimation
distribution-free inference
shape-constrained inference
high dimensional statistics
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James Norris
University of Cambridge United Kingdom
mathematical statistics
bayesian inference
statistical theory
statistical modeling
data analysis
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Piotr Fryzlewicz
London School of Economics and Political Science United Kingdom
high-dimensional statistical inference
statistics in neuroscience
statistics in social sciences
statistics in finance
statistical learning
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Abhishek Chakrabortty
Texas A&M University United States of America
statistical inference
causal inference
statistics
bayesian inference
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Michael Evans
University of Toronto Canada
statistical inference
mathematical statistics
theoretical statistics
statistical computing
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Nancy Reid
University of Toronto Canada
inference
likelihood inference
theoretical statistics
statistical theory
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Christian Jørgensen
Aalborg University Denmark
statistical inference
statistics
multivariate statistics
statistical modelling
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Ismaila Ba
University of Toronto Canada
statistical inference
theoretical statistics
spatial statistics
statistical computing
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Chuanhai Liu
Purdue University United States of America
statistical inference
theoretical statistics
statistical modeling
data analysis
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Victor Panaretos
École Polytechnique Fédérale de Lausanne Switzerland
statistical inference
statistical theory
multivariate statistics
regression modeling
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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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Dae Ham
University of Michigan United States of America
randomization inference
causal inference
adaptive sequential inference
non-parametric statistics
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Catherine Calder
University of Texas at Austin United States of America
statistics
bayesian statistics
spatial statistics
spatio-temporal statistics
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Raaz Dwivedi
Cornell University Netherlands
causal inference
bayesian inference
statistical machine learning
high-dimensional statistics
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Andrey Feuerverger
University of Toronto Canada
mathematical statistics
theoretical statistics
statistical theory
statistical inverse problems
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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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Avi Feller
University of California, Berkeley United States of America
theoretical statistics
bayesian statistics
statistics social sciences
applied statistics
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Wenlong Mou
University of Toronto Canada
mathematical statistics
theoretical statistics
statistical computing
statistical learning
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