Predictability Professors in Global

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Antje Weisheimer
University of Oxford United Kingdom
predictability
climate forecasting
weather forecasting
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Monika Feldmann
University of Bern Switzerland
predictability
ai-based forecasts
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Philipp Sterzinger
London School of Economics United Kingdom
prediction
estimation
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Fei Wang
Cornell University Netherlands
predictive modeling
explainability
model interpretability
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Fei Wang
Cornell University Netherlands
predictive modeling
explainability
model interpretability
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Syed Haider
Columbia University United States of America
predictive modeling
probability
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Jean-yves Pitarakis
University of Southampton United Kingdom
predictive regressions
predictive accuracy testing
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Amalie Andersen
Aalborg University Denmark
predictive modeling
explainable machine learning
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Tao Ma
University of Southern California United States of America
predictive analytics
time series forecasting
probability
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Peter Fader
University of Pennsylvania United States of America
predictive analytics
sales forecasting
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Joydeep Ghosh
University of Texas at Austin United States of America
predictive analytics
scalable machine learning
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Matthias Wilms
University of Michigan United States of America
interpretability
explainability
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Berk Gorgulu
McMaster University Canada
predictive analytics
interpretable machine learning
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Ying Jin
University of Pennsylvania United States of America
generalizability
selective inference
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Elchanan Mossel
Massachusetts Institute of Technology United States of America
probability
inference
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Andrew Marks
University of California, Berkeley United States of America
probability
computability theory
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Saikat Chatterjee
Royal Institute of Technology Sweden
explainable machine learning
estimation
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Rina Foygel Barber
University of Chicago United States of America
estimation
inference
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Amir Rahnama
KTH Royal Institute of Technology Sweden
explainable machine learning
interpretable machine learning
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Zihuai University
Stanford University United States of America
explainable machine learning
interpretable machine learning
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Dale Durran
University of Washington United States of America
predictability
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