Time Series Forecasts Professors in Global

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Andrew Patton
Duke University Singapore
volatility forecasting
forecast evaluation methods
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Kaixin Liu
London School of Economics and Political Science United Kingdom
time series analysis
high-dimensional time series
high-frequency time series
tensor time series
non-linear time series
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Lasse Knudsen
Aarhus University Denmark
future scenarios
technological foresight
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Rayjean Hung
University of Toronto Canada
risk prediction
prognosis
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Martin Richard
Memorial University of Newfoundland Canada
ensemble forecasting
ice water resources forecasting
applied environmental forecasting
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Mark Klein
Carnegie Mellon University United States of America
real-time systems
scheduling theory
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Ian Turner
University of New South Wales Australia
short-range coastal erosion forecasting
forecasting coastal change impacts
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George Exarchakos
Eindhoven University of Technology Belgium
predictive networks
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Maylyn Martinez
University of Chicago United States of America
predictive algorithms
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Sonja Starr
University of Chicago United States of America
predictive algorithms
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Winifred Teuteberg
Stanford University United States of America
predictive algorithms
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Salah Issa
University of Illinois United States of America
predictive algorithms
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Muhammed Ottupara
University of Glasgow United Kingdom
forecasting solar flares
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Zhaoli Song
National University of Singapore Singapore
future scenarios
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Lachlan Tegart
Aarhus University Denmark
pollen forecasts
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Pia Ørby
Aarhus University Denmark
pollen forecasts
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Glen Donaldson
University of British Columbia Canada
volatility forecasting
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Eva Suarthana
McGill University Canada
prediction studies
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Dalibor Cavar
Technical University of Denmark Denmark
numerical weather prediction
wind energy forecasting
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Elie Bou-zeid
Princeton University United States of America
wind energy forecasting
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Gary Thompson
Cornell University Netherlands
food and beverage forecasting
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