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Professors
High Dimensional Statistical Inferences
High Dimensional Statistical Inferences Professors in Global
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Professor
Rajesh Ranganath
New York University
United States of America
statistical inference
probabilistic inference
deep generative modeling
causal inference
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Professor
Vanessa Mcnealis
University of Glasgow
United Kingdom
causal inference
hierarchical modelling
bayesian inference
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Professor
Rina Foygel Barber
University of Chicago
United States of America
high dimensional statistics
statistical inference
shape-constrained inference
distribution-free inference
statistical estimation
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Professor
Guang Cheng
Purdue University
United States of America
high dimensional statistical inferences
semi-nonparametric inferences
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Professor
Chad Hazlett
University of California Los Angeles
United States of America
high-dimensional regression classification
causal inference
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Professor
Kaixin Liu
London School of Economics and Political Science
United Kingdom
high-dimensional time series
high-frequency time series
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Professor
David Itkin
London School of Economics and Political Science
United Kingdom
high dimensional analysis
stochastic analysis
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Professor
Enno Mammen
Heidelberg University
Germany
high-dimensional models
statistical decision theory
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Professor
Guanyu Hu
Michigan State University
United States of America
big data inference
causal inference
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Professor
Antonio Vergari
University of Edinburgh
United Kingdom
deep probabilistic reasoning
statistical data analysis
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Professor
Marie Skov Breum
University of Copenhagen
Denmark
semiparametric inference
causal inference
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Professor
Daniel Malinsky
Columbia University
United States of America
semiparametric inference
causal inference
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Professor
Jingsong Yuan
University of Manchester
United Kingdom
higher order spectral analysis
statistical modelling
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Professor
Brani Vidakovic
Texas A&M University
United States of America
multiscale statistical modeling
statistical modeling
high frequency biomedical data
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Professor
Jason George
Texas A&M University
United States of America
inferential computational approaches
computational statistical modeling
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Professor
Abhishek Chakrabortty
Texas A&M University
United States of America
high-dimensional data
statistical inference
causal inference
bayesian inference
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Professor
Xinran Li
University of Chicago
United States of America
randomization-based inference
causal inference
bayesian inference
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Professor
Raaz Dwivedi
Cornell University
Netherlands
high-dimensional statistics
statistical machine learning
causal inference
bayesian inference
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Professor
Chuan Zhou
University of Washington
United States of America
causal inference
bayesian inference
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Professor
David Taylor
Monash University
Australia
causal inference
bayesian inference
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Professor
Yu Luo
King's College London
United Kingdom
causal inference
bayesian inference
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