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Biostatistical Inference
Biostatistical Inference Professors in Global
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Professor
Dae Ham
University of Michigan
United States of America
randomization inference
causal inference
adaptive sequential inference
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Professor
Guanyu Hu
Michigan State University
United States of America
big data inference
causal inference
bayesian computation
bayesian nonparametric
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Professor
Peter Mueller
University of Texas at Austin
United States of America
bayesian bioinformatics
nonparametric bayesian inference
computational methods in bayesian inference
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Professor
Yazhen Wang
University of Wisconsin–Madison
United States of America
high-dimensional statistical inference
machine learning
order restricted statistical inferences
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Professor
Elias Bareinboim
Purdue University
United States of America
causal inference
counterfactual inference
machine learning
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Professor
Fan Yang
University College London
United Kingdom
causal inference
statistical models
machine learning
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Professor
Xavier De Luna
Umeå University
Sweden
causal inference
statistical models
machine learning
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Professor
Wei Jin
Boston University
United States of America
biostatistics
causal inference
bayesian statistical methods
machine learning
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Professor
Samrachana Adhikari
New York University
United States of America
causal inference
machine learning
predictive modeling
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Professor
Thomas Icard
Stanford University
United States of America
causal inference
machine learning
probabilistic reasoning
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Professor
Jayadev Acharya
Cornell University
Netherlands
information-constrained inference
machine learning
algorithmic information theory
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Professor
Guotao Ma
University of Warwick
United Kingdom
machine learning
probabilistic analysis
computational modeling
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Professor
Mohammad Asghari-jafarabadi
Monash University
Australia
biostatistics
machine learning
clinical biostatistics
deep learning models
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Professor
Veronika Rockova
University of Chicago
United States of America
predictive inference
bayesian statistics
machine learning
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Professor
Galen Reeves
Duke University
Singapore
high-dimensional statistical inference
machine learning
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Professor
Dan Nicolae
University of Chicago
United States of America
high-dimensional statistical inference
machine learning
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Professor
Jiaming Xu
Duke University
Singapore
high-dimensional statistical inference
machine learning
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Professor
Geoff Nicholls
University of Oxford
United Kingdom
applied bayesian inference
bayesian statistical methods
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Professor
Subha Kalyaanamoorthy
University of Waterloo
Canada
phylogenetic inference
machine learning
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Professor
Minh Bui
Australian National University
Australia
phylogenetic inference
computational phylogenomics
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Professor
Christian Frier
Aalborg University
Denmark
probabilistic modeling
stochastic modeling
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