Randomization Inference Professors in Global

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Ivan Kryven
Utrecht University Netherlands
randomized algorithms
random approximation algorithms
parameter inference problems
stochastic analysis
random graph representation
random matrices
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A.c.c. Coolen
Radboud University Netherlands
statistical inference
machine learning
random networks
neural networks
predictive analysis
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Rajesh Ranganath
New York University United States of America
probabilistic inference
statistical inference
causal inference
machine learning
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Xinran Li
University of Chicago United States of America
randomization-based inference
bayesian inference
causal inference
rerandomization
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Abhishek Chakrabortty
Texas A&M University United States of America
statistical inference
bayesian inference
causal inference
machine learning
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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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Raaz Dwivedi
Cornell University Netherlands
bayesian inference
causal inference
random sampling
statistical machine learning
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Sigurd Assing
University of Warwick United Kingdom
machine learning
random processes
probability theory
stochastic analysis
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George Azzopardi
University of Groningen Netherlands
machine learning
pattern recognition
data mining
predictive analysis
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Brokoslaw Laschowski
University of Toronto Canada
machine learning
neural networks
brain-inspired algorithms
neural computation
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John Oommen
Carleton University Canada
statistical pattern recognition
pattern recognition
neural networks
stochastic learning
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Jordan Awan
Purdue University United States of America
statistical inference
simulation-based inference
machine learning
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Ivan Canay
Northwestern University United States of America
statistical inference
causal inference
randomization tests
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Jaehee Kim
Cornell University Netherlands
statistical inference
bayesian 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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Torkel Erhardsson
Linköping University Sweden
statistical inference
bayesian inference
probability theory
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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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Alastair Hall
University of Manchester United Kingdom
statistical inference
indirect inference
generalized empirical likelihood
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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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