Time Series Forecasts 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
high-frequency time series
tensor time series
non-linear time series
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Jethro Browell
University of Glasgow United Kingdom
time series analysis
probabilistic forecasting
energy forecasting
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Antje Weisheimer
University of Oxford United Kingdom
weather forecasting
climate forecasting
predictability
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Peder Bacher
Technical University of Denmark Denmark
time series analysis
solar power forecasting
forecasting heat load
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Stephen Haben
University of Oxford United Kingdom
time series analysis
forecasting measures
probabilistic load forecasting
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Ze Jiang
University of New South Wales Australia
forecasting
flood prediction
drought prediction
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Martin Richard
Memorial University of Newfoundland Canada
ensemble forecasting
ice water resources forecasting
applied environmental forecasting
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Miguel Rico-ramirez
University of Bristol United Kingdom
flood forecasting
numerical weather prediction models
real-time prediction management
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Sebastian Fossati
University of Alberta Canada
time series forecasting
prediction
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Tao Ma
University of Southern California United States of America
time series forecasting
predictive analytics
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Gard Helle
University of Southern Denmark Denmark
weather predictions
climate predictions
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Shanika Wickramasuriya
Monash University Australia
forecasting
time series
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Martha Essak
University of British Columbia Canada
forecasting
time series
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Tung Kieu
Aalborg University Denmark
forecasting
time series analysis
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George Athanasopoulos
Monash University Australia
forecasting
time series analysis
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Fredrik Lindsten
Linköping University Sweden
weather forecasting
statistical predictions
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Murat Külahci
Technical University of Denmark Denmark
forecasting
time series analysis
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Karim Osman
University of Washington United States of America
forecasting
time series analysis
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Allan Timmermann
University of California, San Diego United States of America
forecasting
time series analysis
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Henrik Madsen
Technical University of Denmark Denmark
forecasting
time series analysis
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Panagiotis Papapetrou
Stockholm University Sweden
forecasting
time series classification
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