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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Laurence Frank
Utrecht University Netherlands
statistical learning
resampling techniques
randomized response
machine learning
predictive modelling
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Ansgar Steland
RWTH Aachen University Germany
sequential analysis
statistical learning
stochastic processes
machine learning
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Nazim Khan
University of Western Australia Australia
statistical model selection
stochastic modelling
statistical computing
statistical clustering
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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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Stephen Bach
Brown University United States of America
statistical machine learning
machine learning
information extraction
statistical relational learning
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Monika Eisenmann
Lund University Sweden
stochastic numerical analysis
randomized algorithms
machine learning
numerical approximation
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A.c.c. Coolen
Radboud University Netherlands
stochastic processes
statistical inference
machine learning
random networks
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George Moustakides
University of Patras Greece
sequential detection
statistical signal processing
machine learning
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Vidya Muthukumar
Georgia Institute of Technology United States of America
sequential decision making
statistical signal processing
machine learning
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Sharan Vaswani
Simon Fraser University Canada
sequential decision-making
machine learning
stochastic optimization
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Sarah Naqvi
University of Regina Canada
sampling theory
statistical computing
machine learning
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Fotios Kokkotos
Boston University United States of America
sampling theory
stochastic processes
machine learning
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Ben Adcock
Simon Fraser University Canada
sampling theory
signal processing
machine learning
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Nick Whiteley
University of Bristol United Kingdom
sampling methods
statistical inference
probabilistic modelling
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Sahand Negahban
Yale University United States of America
statistical signal processing
statistical learning
machine learning
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Sreeraman Rajan
Carleton University Canada
statistical signal processing
signal processing
machine learning
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Sharon Ong
Tilburg University Netherlands
stochastic filtering
signal processing
machine learning
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Geethu Joseph
Delft University of Technology Netherlands
statistical signal processing
signal processing
machine learning
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Qing Zhao
Cornell University Netherlands
sequential decision theory
machine learning
stochastic optimization
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Lin Fan
Northwestern University United States of America
stochastic simulation
stochastic processes
statistical inference
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