Statistical Inference Procedures Professors in Global

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Richard Border
Carnegie Mellon University United States of America
statistical inference
statistical learning
statistical genetics
bayesian inference
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James Norris
University of Cambridge United Kingdom
statistical modeling
statistical theory
stochastic processes
bayesian inference
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Rajesh Ranganath
New York University United States of America
statistical inference
probabilistic inference
causal inference
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Nabarun Deb
University of Chicago Booth School of Business United States of America
statistical inference
statistical machine learning
nonparametric inference
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Jordan Awan
Purdue University United States of America
statistical inference
simulation-based inference
computational methods
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Cosma Shalizi
Carnegie Mellon University United States of America
statistical inference
causal inference
stochastic processes
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Gareth Roberts
University of Warwick United Kingdom
statistical inference
statistical methodology
stochastic processes
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Abhishek Chakrabortty
Texas A&M University United States of America
statistical inference
causal inference
bayesian inference
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Chuanhai Liu
Purdue University United States of America
statistical inference
statistical modeling
computational methods
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Ismaila Ba
University of Toronto Canada
statistical inference
statistical computing
spatial statistics
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Khader Khadraoui
Laval University Canada
statistical inference
statistical theory modeling
stochastic processes
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Purnamrita Sarkar
University of Texas at Austin United States of America
scalable inference algorithms
statistical machine learning
statistical models
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Dabao Zhang
Purdue University United States of America
statistical inference
statistical genetics
computational methods
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Amir Dembo
Stanford University United States of America
statistical inference
statistical mechanics
stochastic processes
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Moritz Schauer
Chalmers University of Technology Sweden
statistical inference
statistical theory
bayesian inference
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Daniel Malinsky
Columbia University United States of America
statistical methods
causal inference
semiparametric inference
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Torkel Erhardsson
Linköping University Sweden
statistical inference
stochastic processes
bayesian inference
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Tony Cai
University of Pennsylvania United States of America
statistical machine learning
statistical decision theory
large-scale inference
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Dae Ham
University of Michigan United States of America
randomization inference
causal inference
adaptive sequential inference
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Michael Sørensen
University of Copenhagen Denmark
statistical methods
simulation-based inference
stochastic processes
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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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