Probabilistic Ensemble Forecasting Professors in Global

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Martin Weißmann
University of Vienna Austria
weather forecasting
computational meteorology
ensemble methods
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Brian Jewett
University of Illinois United States of America
weather analysis forecasting
numerical weather prediction
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Filip Schlembach
Maastricht University Netherlands
predictive uncertainty quantification
time series forecasts
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Jean-yves Pitarakis
University of Southampton United Kingdom
predictive regressions
predictive accuracy testing
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Andrew Patton
Duke University Singapore
volatility forecasting
forecast evaluation methods
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Lelys Bravo De Guenni
University of Illinois United States of America
renewable energy forecasting
statistical modeling
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Stephen Gould
Australian National University Australia
probabilistic graphical models
structured probabilistic models
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Antje Weisheimer
University of Oxford United Kingdom
climate forecasting
weather forecasting
predictability
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Donghoon Lee
University of Manitoba Canada
hydroclimate forecasting
statistical computational modelling
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Camilo Garcia Trillos
University College London United Kingdom
probabilistic numerical methods
stochastic analysis
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Miguel Rico-ramirez
University of Bristol United Kingdom
numerical weather prediction models
flood forecasting
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Nedjeljka Žagar
University of Hamburg Germany
numerical weather prediction
predictability
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Dale Durran
University of Washington United States of America
sub-seasonal forecasting
predictability
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Rina Foygel Barber
University of Chicago United States of America
prediction
statistical estimation
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Rayjean Hung
University of Toronto Canada
risk prediction
statistical modeling
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Stefan Hergarten
University of Freiburg Germany
risk prediction
hazard prediction
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Damiano Brigo
Imperial College London United Kingdom
probability statistics
stochastic analysis
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Lutz Warnke
University of California, San Diego United States of America
combinatorial probability
probability theory
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Gordan Zitkovic
University of Texas at Austin United States of America
probability
stochastic analysis
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Xue-mei Li
Imperial College London United Kingdom
probability
stochastic analysis
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Michal Branicki
University of Edinburgh United Kingdom
probability
stochastic analysis
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