Time Series Modeling Professors in Global

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Kaixin Liu
London School of Economics and Political Science United Kingdom
time series analysis
high-dimensional time series
machine learning
high-frequency time series
tensor time series
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Nazim Khan
University of Western Australia Australia
time series modelling
time series analysis
stochastic modelling
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Tao Ma
University of Southern California United States of America
time series forecasting
transportation systems modeling
machine learning
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Daniel Graham
Imperial College London United Kingdom
mathematical modelling
statistical modelling
economic modelling
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Joakim Munkhammar
Uppsala University Sweden
mathematical modeling
statistical modeling
machine learning
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Rukayya Ibrahim
Penn State Harrisburg United States of America
multivariate time series models
high dimensional time series models
spatio-temporal data modeling
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Henrik Madsen
Technical University of Denmark Denmark
time series analysis
mathematical modeling
dynamic modeling
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Luke Miller
Radboud University Netherlands
computational modeling
neural network modeling
machine learning
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John Quilty
University of Waterloo Canada
time series analysis
data-driven modelling
machine learning
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Kamal Hossain
University of Melbourne Australia
statistical modeling
computational modeling
machine learning
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Arman Sabbaghi
Purdue University United States of America
modeling
time series
machine learning
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Jaime Ide
Yale University United States of America
theoretical modeling
predictive modeling
machine learning
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Da Zhao
University of Melbourne Australia
statistical modeling
predictive modeling
machine learning
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Iain Moyles
York University Canada
mathematical modelling
behaviour modelling
disease modelling
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Ralf Peeters
Maastricht University Netherlands
mathematical modelling
machine learning
cardiac modelling
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Yueyue Fan
University of California, Davis United States of America
network modeling
transportation systems modeling
energy systems modeling
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Magnus Röding
Chalmers University of Technology Sweden
statistical modeling
stochastic modeling
machine learning
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Edson Utazi
University of Southampton United Kingdom
spatiotemporal modeling
spatial modeling
machine learning
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Alexander Rodríguez
University of Michigan United States of America
time series analysis
machine learning
scientific modeling
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George Milne
University of Western Australia Australia
simulation modeling
complex systems modeling
disease modeling
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