Robust Semiparametric Inference Professors in Global

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Rajesh Ranganath
New York University United States of America
statistical inference
probabilistic inference
causal inference
deep generative modeling
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Nethal Jajo
University of Sydney Australia
semi-parametric regression
robust regression analysis techniques
statistical machine learning
stochastic system modelling
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Raaz Dwivedi
Cornell University Netherlands
causal inference
bayesian inference
statistical machine learning
reinforcement learning
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Nabarun Deb
University of Chicago Booth School of Business United States of America
statistical inference
nonparametric inference
statistical machine learning
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Chunming Zhang
University of Wisconsin–Madison United States of America
semi-parametric estimation
large-scale simultaneous inference
non-parametric estimation
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Vanessa Mcnealis
University of Glasgow United Kingdom
semi-parametric estimation
causal inference
bayesian inference
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Cosma Shalizi
Carnegie Mellon University United States of America
statistical inference
nonparametric prediction
causal inference
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Yafei Wang
University of Alberta Canada
statistical inference
robust estimation methods
reinforcement learning
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Dae Ham
University of Michigan United States of America
randomization inference
adaptive sequential inference
causal 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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Donald Andrews
Yale University United States of America
robust estimation and testing
inference under partial identification
inference under weak identification
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Shuangning Li
University of Chicago Booth School of Business United States of America
selective inference
causal inference
statistical reinforcement learning
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Eduard Belitser
Vrije Universiteit Amsterdam Netherlands
high-dimensional inference
nonparametric bayesian inference
non-parametric estimation
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Xinran Li
University of Chicago United States of America
randomization-based inference
causal inference
bayesian inference
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Ying Jin
University of Pennsylvania United States of America
selective inference
causal inference
distribution-free inference
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Rina Foygel Barber
University of Chicago United States of America
statistical inference
shape-constrained inference
distribution-free inference
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Lin Fan
Northwestern University United States of America
statistical inference
stochastic simulation
reinforcement learning
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Xiao Wang
Purdue University United States of America
statistical inference
stochastic analysis
nonparametric regression
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Guanyu Hu
Michigan State University United States of America
big data inference
causal inference
bayesian nonparametric
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Gery Geenens
University of New South Wales Australia
semiparametric models
nonparametric binary regression
nonparametric regression
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Camila De Souza
Western University Canada
semi-parametric models
bayesian inference
nonparametric regression
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