Causal Traffic Predictions Professors in Global

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Wilco Burghout
KTH Royal Institute of Technology Sweden
traffic analysis
traffic modeling
traffic data mining
simulation of traffic systems
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Tao Ma
University of Southern California United States of America
traffic state prediction
predictive analytics
time series forecasting
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Sebastian Fossati
University of Alberta Canada
causal inference
prediction
time series forecasting
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Fangce Guo
Imperial College London United Kingdom
traffic forecasting
traffic state estimation
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Cem Dalli
Aarhus University Denmark
causal machine learning
causal inference
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Anish Agarwal
Columbia University United States of America
causal machine learning
causal inference
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Jason Hartford
University of Manchester United Kingdom
causal inference
causal representation learning
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Bryon Aragam
University of Chicago Booth School of Business United States of America
causal machine learning
causality
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Shishir Rao
University of Oxford United Kingdom
causal inference
risk prediction
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Paul Blanche
University of Copenhagen Denmark
causal inference
prediction models
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Ying Li
University of Gothenburg Sweden
causal inference
prediction models
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Zhijing Jin
University of Toronto Canada
causal inference
causal reasoning
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Maurice Brookhart
Duke University Singapore
causal inference
predictive models
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Stavroula Chrysanthopoulou
Brown University United States of America
causal inference
predictive models
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Gard Helle
University of Southern Denmark Denmark
climate predictions
weather predictions
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Daniel Malinsky
Columbia University United States of America
causal inference
causal discovery
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Klaus Bogenberger
Technical University of Munich Germany
traffic simulations
traffic flow theory
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Sonia Grandi
University of Toronto Canada
causal inference
prediction modeling
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Dae Ham
University of Michigan United States of America
causal inference
design-based causal inference
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Hans Heyn
University of Gothenburg Sweden
causal analysis
causality
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Stefan Hergarten
University of Freiburg Germany
risk prediction
hazard prediction
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