Probabilistic Ensemble Forecasting Professors in Global

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Tao Ma
University of Southern California United States of America
time series forecasting
predictive analytics
probability
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Antje Weisheimer
University of Oxford United Kingdom
climate forecasting
weather forecasting
predictability
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Martin Weißmann
University of Vienna Austria
weather forecasting
computational meteorology
ensemble methods
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Wei Zhang
University of Sydney Australia
probability density estimation
statistical modelling
likelihood approximation
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Paulin Coulibaly
McMaster University Canada
probabilistic ensemble forecasting
flood forecasting
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Martin Richard
Memorial University of Newfoundland Canada
ensemble forecasting
applied environmental forecasting
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Jethro Browell
University of Glasgow United Kingdom
probabilistic forecasting
energy forecasting
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Georg Jost
University of British Columbia Canada
probabilistic forecasting
forecast verification
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Roger Ghanem
University of Southern California United States of America
probabilistic modeling
probabilistic multi-scale modeling
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John Quilty
University of Waterloo Canada
ensemble modelling
forecasting
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Roger Ghanem
University of Southern California United States of America
probabilistic modeling
probabilistic multi-scale modeling
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Magnus Ross
University College London United Kingdom
probabilistic machine learning
time series forecasting
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Professorship Biometry Molecular Medicine
Ludwig Maximilian University of Munich Germany
prediction error estimation
prediction modeling
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Karima Dyussekeneva
University College London United Kingdom
forecasting
predictive analytics
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Stephen Haben
University of Oxford United Kingdom
probabilistic load forecasting
forecasting measures
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George Christodoulakis
University of Manchester United Kingdom
forecasting
financial forecasting
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Tao Huang
University College London United Kingdom
forecasting
econometric forecasting
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Davide Arioldi
Università della Svizzera italiana Switzerland
probabilistic programming
probabilistic graphical models
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Glenda Wardle
University of Sydney Australia
predictive modeling
ecosystem forecasting
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Frank Wood
University of British Columbia Canada
probabilistic programming
applied probabilistic machine learning
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Christian Frier
Aalborg University Denmark
probabilistic modeling
stochastic modeling
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