Fraud Forecasting Models Professors in Global

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Paul Blanche
University of Copenhagen Denmark
prediction models
competing risks models
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Professorship Biometry Molecular Medicine
Ludwig Maximilian University of Munich Germany
prediction modeling
prediction error estimation
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Tiejun Ma
University of Southampton United Kingdom
financial market forecasting
mathematical modelling
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Ashis Gangopadhyay
Boston University United States of America
modeling financial time series
modeling high frequency financial data
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Catherine Gorle
Stanford University United States of America
computational predictions
predictive flow simulations
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Line Clemmensen
University of Copenhagen Denmark
statistical modeling
trustworthy modeling
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Lelys Bravo De Guenni
University of Illinois United States of America
statistical modeling
renewable energy forecasting
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Roger Boonecaze
University of Texas at Austin United States of America
predictive tools
computer modeling
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Armistead Russell
Georgia Institute of Technology United States of America
computer modeling
air pollution modeling
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Daria Wijler
Maastricht University Netherlands
fraud forecasting models
fraud detection
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Patrick Vorst
Maastricht University Netherlands
fraud prediction
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Marcus Dyson
University of Western Australia Australia
forecasting models
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Ulrich Menzefricke
University of Toronto Canada
forecasting models
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Magnus Nord
Linköping University Sweden
prediction models
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Ying Li
University of Gothenburg Sweden
prediction models
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Stephanie Garbern
Brown University United States of America
prediction models
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Joel Dubin
University of Waterloo Canada
prediction models
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Peter Van Der Heijden
Utrecht University Netherlands
fraud estimation
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Helene Thomsen
Aarhus University Denmark
prediction modeling
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Alan Meehan
King's College London United Kingdom
prediction modeling
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Raymond Kao
Western University Canada
prediction modeling
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