Nonparametric Statistical Inference Professors in Global

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Gery Geenens
University of New South Wales Australia
nonparametric regression
nonparametric binary regression
nonparametric functional regression
nonparametric copula modelling
semiparametric models
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Howell Tong
London School of Economics and Political Science United Kingdom
non-parametric methods
likelihood-free inference
semi-parametric approaches
nonlinear time series
parametric methods
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Dae Ham
University of Michigan United States of America
non-parametric statistics
randomization inference
causal inference
adaptive sequential inference
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Eduard Belitser
Vrije Universiteit Amsterdam Netherlands
nonparametric bayesian inference
non-parametric estimation
high-dimensional inference
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Nabarun Deb
University of Chicago Booth School of Business United States of America
nonparametric inference
statistical inference
statistical machine learning
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Natalia Stepanova
Carleton University Canada
nonparametric estimation
nonparametric hypothesis testing
high-dimensional statistical inference
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Feng Chen
University of New South Wales Australia
nonparametric statistics
statistical inference
semiparametric statistics
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Cosma Shalizi
Carnegie Mellon University United States of America
nonparametric prediction
statistical inference
causal inference
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Yandi Shen
Carnegie Mellon University United States of America
nonparametric statistics
semiparametric statistics
high-dimensional inference
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Rohit Patra
Columbia University United States of America
nonparametric statistics
semiparametric statistics
shape-restricted inference
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Eric Tchetgen
University of Pennsylvania United States of America
nonparametric statistics
causal inference
semiparametric theory
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Rajesh Ranganath
New York University United States of America
statistical inference
probabilistic inference
causal inference
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Chunming Zhang
University of Wisconsin–Madison United States of America
non-parametric estimation
semi-parametric estimation
large-scale simultaneous inference
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Kolyan Ray
Imperial College London United Kingdom
bayesian nonparametrics
variational inference
causal inference
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Archer Zhang
University of Glasgow United Kingdom
nonparametric statistics
causal inference
semiparametric models
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Nethal Jajo
University of Sydney Australia
non-parametric regression
semi-parametric regression
statistical machine learning
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Camila De Souza
Western University Canada
nonparametric regression
bayesian inference
semi-parametric models
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Guanyu Hu
Michigan State University United States of America
bayesian nonparametric
causal inference
big data inference
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Abhishek Chakrabortty
Texas A&M University United States of America
statistical inference
causal inference
bayesian inference
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Nick Whiteley
University of Bristol United Kingdom
statistical inference
non-linear filtering theory
probabilistic modelling
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Rina Foygel Barber
University of Chicago United States of America
statistical inference
distribution-free inference
shape-constrained inference
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