Randomized Trials Professors in Global

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Christian Kleiber
University of Basel Switzerland
regression models
statistical distributions
stochastic orders
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Daren Cline
Texas A&M University United States of America
stochastic processes
heavy-tailed random variables
dynamic random networks
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Molei Tao
Georgia Institute of Technology United States of America
machine learning
sampling
probabilistic machine learning
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Alexander Strang
University of California, Berkeley United States of America
random graph theory
stochastic processes
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Mei-yin Polley
University of Chicago United States of America
cancer clinical trials
predictive modeling
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Mogana Ganggayah
Monash University Australia
machine learning
random forests
predictive modeling
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Daniel Reker
Duke University Singapore
machine learning
biochemical experiments
automated experimentation
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Takashi Owada
Purdue University United States of America
random graph theory
random topology
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Wicher Bergsma
London School of Economics and Political Science United Kingdom
regression models
statistical modeling
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Adriano Polpo
University of Western Australia Australia
regression models
statistical learning
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Arthur Lee
Boston University United States of America
neural predictions
neural patterns
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James Dignam
University of Chicago United States of America
cancer clinical trials
statistical modeling
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Maurits Kaptein
Eindhoven University of Technology Belgium
sequential experimentation
statistical learning
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Ton Dieker
Columbia University United States of America
random processes
predictive modeling
stochastic networks
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Kavita Ramanan
Brown University United States of America
stochastic analysis
stochastic processes
stochastic networks
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Richard Serfozo
Georgia Institute of Technology United States of America
stochastic processes
stochastic networks
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Matthias Winkel
University of Oxford United Kingdom
random hierarchies
tree-valued random processes
random partitions
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Uffe Thygesen
Technical University of Denmark Denmark
stochastic processes
stochastic filtering
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Jakob Björnberg
University of Gothenburg Sweden
stochastic processes
random recursive trees
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Laurence Frank
Utrecht University Netherlands
randomized response
machine learning
predictive modelling
statistical learning
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Yimin Xiao
Michigan State University United States of America
random fields
stochastic processes
random fractals
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