Statistical Inference And Uncertainty Quantification Professors in Global

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Rajesh Ranganath
New York University United States of America
statistical inference
probabilistic inference
causal inference
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Ruoqing Zhu
University of Illinois United States of America
uncertainty quantification
causal inference
statistical methodology
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Bin Yu
University of California, Berkeley United States of America
statistical inference
causal inference
statistical machine 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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Aad Van Der Vaart
Delft University of Technology Netherlands
causal inference
statistical modeling
statistical analysis
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Jethro Linley
University of Glasgow United Kingdom
statistical modelling
statistical machine learning
uncertainty handling
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Sebastien Roch
University of Wisconsin–Madison United States of America
statistical computing
statistical methodology
statistical theory
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Youssef Marzouk
Massachusetts Institute of Technology United States of America
uncertainty quantification
statistical inference
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Bojana Rosic
University of Twente Netherlands
uncertainty quantification
statistical inference
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Xiaowu Dai
University of California Los Angeles United States of America
uncertainty quantification
statistical inference
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Sen Na
University of California, Berkeley United States of America
uncertainty quantification
high-dimensional estimation and inference
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Ying Jin
University of Pennsylvania United States of America
uncertainty quantification
selective inference
causal inference
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Philip Stark
University of California, Berkeley United States of America
uncertainty quantification
causal inference
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Chris Dent
University of Edinburgh United Kingdom
uncertainty quantification
statistical modelling
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Chris Dent
University of Edinburgh United Kingdom
uncertainty quantification
statistical modelling
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Chris Dent
University of Edinburgh United Kingdom
uncertainty quantification
statistical modelling
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Solomiia Dmytriv
University of Vienna Austria
uncertainty quantification
statistical modeling
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Philip Stark
University of California, Berkeley United States of America
uncertainty quantification
inference
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Dirk Husmeier
University of Glasgow United Kingdom
uncertainty quantification
parameter inference
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Jon Forster
University of Warwick United Kingdom
statistical inference
model uncertainty
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Guang Lin
Purdue University United States of America
uncertainty quantification
statistical machine learning
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