Estimation Inference Professors in Global

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Rina Foygel Barber
University of Chicago United States of America
statistical inference
statistical estimation
shape-constrained inference
prediction
distribution-free inference
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Dae Ham
University of Michigan United States of America
randomization inference
causal inference
adaptive sequential inference
design-based causal inference
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Rajesh Ranganath
New York University United States of America
statistical inference
probabilistic inference
causal inference
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Abhishek Chakrabortty
Texas A&M University United States of America
statistical inference
causal inference
bayesian inference
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Yves Berger
University of Southampton United Kingdom
statistical inference
variance estimation
imputation
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Xinran Li
University of Chicago United States of America
causal inference
randomization-based inference
bayesian inference
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Cosma Shalizi
Carnegie Mellon University United States of America
statistical inference
causal inference
nonparametric prediction
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Melike Alper
University of Southampton United Kingdom
design inference
variance estimation
empirical likelihood inference
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Ying Jin
University of Pennsylvania United States of America
selective inference
causal inference
distribution-free inference
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Vanessa Mcnealis
University of Glasgow United Kingdom
causal inference
bayesian inference
semi-parametric estimation
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Hyonho Chun
Purdue University United States of America
network inference
covariance estimation
nonparametric function estimation
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Andrei Volodin
University of Regina Canada
statistical inference
bayesian estimation methods
classical estimation methods
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Eduard Belitser
Vrije Universiteit Amsterdam Netherlands
high-dimensional inference
non-parametric estimation
nonparametric bayesian inference
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Oliver Ray
University of Bristol United Kingdom
scientific inference
inductive reasoning
abductive reasoning
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Adriano Polpo
University of Western Australia Australia
uncertainty estimation
predictive data analysis
model evaluation
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Wei-biao Wu
University of Chicago United States of America
high-dimensional inference
mean vector estimation
covariance matrix estimation
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Jan Johannes
Heidelberg University Germany
adaptive estimation
nonparametric bayesian inference
nonparametric and semiparametric inference
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Ryan Tibshirani
University of California, Berkeley United States of America
nonparametric estimation
distribution-free inference
probabilistic forecasting
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Chunming Zhang
University of Wisconsin–Madison United States of America
non-parametric estimation
semi-parametric estimation
large-scale simultaneous inference
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Rina Foygel Barber
University of Chicago United States of America
estimation
inference
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Saikat Chatterjee
Royal Institute of Technology Sweden
estimation
data inference
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