Statistical Inference Procedures Professors in Global

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Xinran Li
University of Chicago United States of America
causal inference
randomization-based inference
bayesian inference
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Thierry Duchesne
Laval University Canada
statistical learning
computational methods in statistics
spatial statistics
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Pratheepa Jeganathan
McMaster University Canada
statistical learning
statistical theory
spatial statistics
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Mehdi Moradi
Umeå University Sweden
statistical learning
stochastic processes
spatial statistics
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James Norris
University of Cambridge United Kingdom
statistical modeling
statistical theory
stochastic processes
bayesian inference
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Daniela Golinelli
University of Pennsylvania United States of America
statistical inference procedures
causal inference
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Ying Jin
University of Pennsylvania United States of America
selective inference
causal inference
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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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Souvik Dhara
Georgia Institute of Technology United States of America
inference algorithms
stochastic processes
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Mladen Kolar
University of Southern California United States of America
causal inference
statistical learning methods
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Ruohan Zhan
University College London United Kingdom
causal inference
statistical learning
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Peter Bühlmann
ETH Zurich Switzerland
causal inference
statistical learning
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Jonas Peters
ETH Zurich Switzerland
causal inference
statistical learning
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Maurits Kaptein
Eindhoven University of Technology Belgium
causal inference
statistical learning
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Riccardo Di Francesco
University of Southern Denmark Denmark
causal inference
statistical learning
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Thijs Van Ommen
Utrecht University Netherlands
causal inference
statistical learning
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Michael Schweinberger
Pennsylvania State University United States of America
causal inference
statistical learning
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Peter Spirtes
Carnegie Mellon University United States of America
causal inference
statistical learning
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Forrest Crawford
Yale University United States of America
causal inference
statistical learning
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Guang Cheng
Purdue University United States of America
high dimensional statistical inferences
semi-nonparametric inferences
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Sahand Negahban
Yale University United States of America
statistical signal processing
statistical learning
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