Selective Inference Professors in Global

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Rina Foygel Barber
University of Chicago United States of America
statistical inference
shape-constrained inference
statistical estimation
distribution-free inference
prediction
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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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Dae Ham
University of Michigan United States of America
adaptive sequential inference
causal inference
randomization inference
design-based causal inference
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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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Raaz Dwivedi
Cornell University Netherlands
causal inference
bayesian inference
statistical machine learning
random sampling
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Oliver Ray
University of Bristol United Kingdom
scientific inference
abductive reasoning
inductive reasoning
machine learning
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Yingzhen Li
Imperial College London United Kingdom
probabilistic machine learning
generative modeling
decision-making
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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Xinran Li
University of Chicago United States of America
causal inference
randomization-based inference
bayesian inference
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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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Jordan Awan
Purdue University United States of America
statistical inference
simulation-based inference
machine learning
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Mohammad Anam Khan
University of Toronto Canada
statistical inference
causal inference
machine learning
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Victor Veitch
University of Chicago United States of America
statistical inference
causal inference
machine learning
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A.c.c. Coolen
Radboud University Netherlands
statistical inference
predictive analysis
machine learning
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Richard Border
Carnegie Mellon University United States of America
statistical inference
bayesian inference
statistical learning
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Sabine Loos
University of Michigan United States of America
statistical inference
predictive modeling
statistical learning
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Christina Lee Yu
Cornell University Netherlands
causal inference
inference networks
sequential decision making
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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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Jaehee Kim
Cornell University Netherlands
statistical 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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Samrachana Adhikari
New York University United States of America
causal inference
predictive modeling
machine learning
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