Forecasting Measures Professors in Global

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Peter Fader
University of Pennsylvania United States of America
sales forecasting
predictive analytics
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Peter Stucki
University of Bern Switzerland
forecast evaluation
weather modeling
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Peder Bacher
Technical University of Denmark Denmark
solar power forecasting
forecasting heat load
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Miguel Rico-ramirez
University of Bristol United Kingdom
flood forecasting
numerical weather prediction models
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Mark Wolters
University of Illinois United States of America
efficiency measures
competition measures
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Mei-yin Polley
University of Chicago United States of America
predictive modeling
statistical methods
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Xiyuan Ma
University of Edinburgh United Kingdom
predictive modeling
statistical methods
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Ewen Harrison
University of Edinburgh United Kingdom
predictive modeling
statistical methods
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Elle Saber
Australian National University Australia
predictive modeling
statistical methods
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Sunmee Kim
University of Manitoba Canada
predictive modeling
statistical methods
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Alex Sox-harris
Stanford University United States of America
predictive modeling
quality measurement
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Jethro Linley
University of Glasgow United Kingdom
predictive analytics
statistical modelling
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Sandun Silva
Macquarie University Australia
predictive analytics
statistical modelling
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Hannah Christensen
University of Oxford United Kingdom
weather modeling
climate modeling
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Santiago Hernandez Uribe
ETH Zurich Switzerland
weather modeling
climate modeling
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Abby Hutson
University of Michigan United States of America
weather modeling
climate modeling
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Michael Howland
Massachusetts Institute of Technology United States of America
weather modeling
climate modeling
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Kenneth Jackson
University of Toronto Canada
numerical weather prediction
climate modeling
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Courtney Bell
University of Wisconsin–Madison United States of America
measurement in teaching
performance assessments
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Stephen Harris
University of New South Wales Australia
airborne measurements
satellite measurements
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Jean-yves Pitarakis
University of Southampton United Kingdom
predictive regressions
predictive accuracy testing
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