Simultaneous Inference Professors in Global

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Rajesh Ranganath
New York University United States of America
statistical inference
probabilistic inference
causal inference
machine learning
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Abhishek Chakrabortty
Texas A&M University United States of America
statistical inference
causal inference
bayesian inference
machine learning
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Dae Ham
University of Michigan United States of America
randomization inference
causal inference
adaptive sequential inference
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Jordan Awan
Purdue University United States of America
statistical inference
simulation-based inference
machine learning
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Ying Jin
University of Pennsylvania United States of America
selective inference
causal inference
distribution-free inference
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Victor Veitch
University of Chicago United States of America
statistical inference
causal inference
machine learning
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Mohammad Anam Khan
University of Toronto Canada
statistical inference
causal inference
machine learning
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Xinran Li
University of Chicago United States of America
randomization-based inference
causal inference
bayesian inference
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Daniel Malinsky
Columbia University United States of America
semiparametric inference
causal inference
machine learning
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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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Jaehee Kim
Cornell University Netherlands
statistical inference
bayesian inference
machine learning
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Shuangning Li
University of Chicago Booth School of Business United States of America
selective inference
causal inference
multiple hypothesis testing
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Ricardo Silva
University College London United Kingdom
relational inference
bayesian inference
machine learning
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Ricardo Silva
University College London United Kingdom
relational inference
bayesian inference
machine learning
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Guang Cheng
Purdue University United States of America
high dimensional statistical inferences
semi-nonparametric inferences
machine learning
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Elias Bareinboim
Purdue University United States of America
causal inference
counterfactual inference
machine learning
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A.c.c. Coolen
Radboud University Netherlands
statistical inference
machine learning
predictive analysis
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Raaz Dwivedi
Cornell University Netherlands
causal inference
bayesian inference
random sampling
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Reed Essick
University of Toronto Canada
nonparametric inference
hierarchical bayesian inference
machine learning
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Thang Bui
Australian National University Australia
inference
machine learning
probabilistic modeling
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Prashant Singh
Uppsala University Sweden
parameter inference
sequential sampling
machine learning
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