Statisticalmachine Learning Professors in Global

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Gareth Roberts
University of Warwick United Kingdom
statistical inference
stochastic simulation
statistical methodology
computational statistics
statistics
stochastic processes
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Berwin Turlach
University of Western Australia Australia
statistical learning
statistical computing
machine learning
computational statistics
data mining
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Ansgar Steland
RWTH Aachen University Germany
statistical learning
machine learning
statistics
stochastic processes
sequential analysis
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Nazim Khan
University of Western Australia Australia
statistical computing
stochastic modelling
statistical model selection
statistical clustering
computational statistics
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Tao Ma
University of Southern California United States of America
statistical
machine learning
predictive analytics
statistics
data mining
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A.c.c. Coolen
Radboud University Netherlands
machine learning
statistical inference
predictive analysis
stochastic processes
neural networks
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Fotios Kokkotos
Boston University United States of America
machine learning
predictive analytics
statistics
stochastic processes
data mining
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John Lau
University of Western Australia Australia
statistical filtering
statistical computing
statistical clustering
computational statistics
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Yuchen Zhou
University of Illinois United States of America
statistical learning
machine learning
statistical methods
data mining
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Alexander Rakhlin
Massachusetts Institute of Technology United States of America
statistical learning
machine learning
statistics
neural networks
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Haojian Jin
University of California, San Diego United States of America
statistical learning
machine learning
predictive analytics
data mining
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Dabao Zhang
Purdue University United States of America
machine learning
statistical inference
statistical genetics
data mining
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Chris Holmes
University of Oxford United Kingdom
statistical genomics
stochastic simulation
statistical genetics
spatial statistics
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Hao Zhang
Purdue University United States of America
statistical computing
machine learning
spatial statistics
spatial analysis
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Mehdi Moradi
Umeå University Sweden
statistical learning
spatial statistics
mathematical statistics
stochastic processes
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Qing Zhao
Cornell University Netherlands
machine learning
stochastic optimization
machine learning systems
statistics
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Houman Owhadi
California Institute of Technology United States of America
machine learning
multi-scale stochastic analysis
statistical numerical approximation
stochastic mechanics
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Houman Owhadi
California Institute of Technology United States of America
machine learning
multi-scale stochastic analysis
statistical numerical approximation
stochastic mechanics
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James Norris
University of Cambridge United Kingdom
statistical modeling
statistical theory
mathematical statistics
stochastic processes
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Chinh Lee
Monash University Australia
machine learning
statistical business analytics
predictive modeling
statistical quality control
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Ralf Peeters
Maastricht University Netherlands
machine learning
statistical parameter estimation
mathematical modelling
data mining
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