Time Series Statistical Learning Professors in Global

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Nazim Khan
University of Western Australia Australia
time series modelling
time series analysis
stochastic modelling
statistical computing
statistical model selection
computational statistics
statistical clustering
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Kaixin Liu
London School of Economics and Political Science United Kingdom
time series analysis
machine learning
tensor time series
high-frequency time series
high-dimensional time series
non-linear time series
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John Lau
University of Western Australia Australia
time-series analysis
statistical computing
statistical filtering
computational statistics
statistical clustering
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Mehrdad Mahdavi
Pennsylvania State University United States of America
statistical learning theory
computational statistical machine learning
computational learning theory
large-scale machine learning
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Berwin Turlach
University of Western Australia Australia
statistical learning
machine learning
statistical computing
computational statistics
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Yee Teh
University of Oxford United Kingdom
probabilistic learning
machine learning
computational statistics
large scale machine learning
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Yichen Zhang
Purdue University United States of America
statistical models
statistical inference
multi-task learning
reinforcement learning
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Yuhong Guo
Carleton University Canada
machine learning
self-supervised learning
representation learning
reinforcement learning
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Molei Tao
Georgia Institute of Technology United States of America
machine learning
probabilistic machine learning
deep learning theory
dynamical systems machine learning
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Yutong Wang
London School of Economics and Political Science United Kingdom
time series statistical learning
statistical learning theory
dynamic network statistical modeling
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Stephen Bach
Brown University United States of America
statistical relational learning
statistical machine learning
machine learning
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Sahand Negahban
Yale University United States of America
statistical learning
statistical signal processing
machine learning
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Hao Xue
University of New South Wales Australia
time series forecasting
data-efficient time series representation learning
spatio-temporal data modelling
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Ansgar Steland
RWTH Aachen University Germany
statistical learning
time series analysis
machine learning
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Bryon Aragam
University of Chicago Booth School of Business United States of America
statistical learning theory
statistical machine learning
probabilistic modeling
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Piotr Fryzlewicz
London School of Economics and Political Science United Kingdom
statistical learning
time series analysis
high-dimensional statistical inference
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Wenlong Mou
University of Toronto Canada
statistical learning
statistical computing
theoretical statistics
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Carlo Ciliberto
University College London United Kingdom
statistical learning theory
machine learning
multi-task learning
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Alexander Rakhlin
Massachusetts Institute of Technology United States of America
statistical learning
machine learning
reinforcement learning
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Hina Shaheen
University of Manitoba Canada
statistical machine learning
machine learning
computational modelling
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Anthony Coache
Imperial College London United Kingdom
statistical learning
stochastic modeling
reinforcement learning
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