Sequential Sampling Professors in Global

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Asokan Variyath
Memorial University of Newfoundland Canada
sampling techniques
machine learning
variable selection
spatial analysis
statistical process control
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Sahand Negahban
Yale University United States of America
statistical signal processing
statistical learning
machine learning
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Ansgar Steland
RWTH Aachen University Germany
sequential analysis
statistical learning
stochastic processes
machine learning
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Raman Arora
Johns Hopkins University United States of America
statistical signal processing
machine learning
stochastic approximation algorithms
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Raman Arora
Johns Hopkins University United States of America
statistical signal processing
machine learning
stochastic approximation algorithms
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Laurence Frank
Utrecht University Netherlands
statistical learning
resampling techniques
randomized response
machine learning
predictive modelling
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A.c.c. Coolen
Radboud University Netherlands
stochastic processes
statistical inference
machine learning
random networks
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David Matteson
Cornell University Netherlands
stochastic processes
machine learning
spatial analysis
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Elias Aboutanios
University of New South Wales Australia
signal processing
array signal processing
statistical multidimensional signal processing
signal detection
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Quan Zhou
Texas A&M University United States of America
variable selection
iterative algorithms
stochastic optimization
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Nic Kuo
University of New South Wales Australia
machine learning
synthetic data generation
continual learning
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Stephen Bach
Brown University United States of America
statistical machine learning
machine learning
information extraction
statistical relational learning
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Raymond Mooney
University of Texas at Austin United States of America
machine learning
information extraction
statistical relational learning
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Lyle Ungar
University of Pennsylvania United States of America
machine learning
information extraction
statistical relational learning
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Nizar Bouguila
Concordia University Canada
machine learning
image signal processing
statistical process control
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Yajun Mei
New York University United States of America
sequential decision
machine learning
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Jake Spicer
University of Warwick United Kingdom
sampling approaches
computational modelling
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Dae Ham
University of Michigan United States of America
adaptive sequential inference
randomization inference
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Sreeraman Rajan
Carleton University Canada
statistical signal processing
signal processing
machine learning
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Galen Reeves
Duke University Singapore
statistical signal processing
machine learning
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Itschak Weissman
Stanford University United States of America
statistical signal processing
machine learning
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