Variability Mitigation Professors in Global

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Clemente Lopez Bravo
University of New South Wales Australia
climate variability
predictive modeling
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Angela Maharaj
University of New South Wales Australia
climate variability
ocean climate variability
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Dirk Baur
University of Western Australia Australia
volatility modeling
diversification
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Mike Yang
San Diego State University United States of America
variable selection
latent variable models
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Taban Baghfalaki
University of Manchester United Kingdom
variable selection
dynamic risk prediction
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Taban Baghfalaki
University of Manchester United Kingdom
variable selection
dynamic risk prediction
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Amin Mousavi
University of Saskatchewan Canada
latent variable modeling
statistical modeling
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Hans Petersen
University of Southern Denmark Denmark
multivariate statistical analysis
variation evolution
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Marjolein Dennissen
Radboud University Netherlands
diversity management
diversity networks
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Martin Knott
London School of Economics and Political Science United Kingdom
multivariate analysis
latent variable models
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Maggie Niu
Pennsylvania State University United States of America
multivariate analysis
latent variable models
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Marieke Timmerman
University of Groningen Netherlands
multivariate data analysis
latent variable models
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Sonya Clegg
University of Oxford United Kingdom
behavioral differentiation
genomic diversification
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Da Zhao
University of Melbourne Australia
statistical modeling
predictive modeling
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Polina Golland
Massachusetts Institute of Technology United States of America
statistical modeling
predictive modeling
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Rayjean Hung
University of Toronto Canada
statistical modeling
risk prediction
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Simin Nadjm-tehrani
Linköping University Sweden
adaptive anomaly detection
adaptive resource allocation
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Svetlana Kaminskaïa
University of Waterloo Canada
sociolinguistic variation
dialectal variation
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Peter Cheung
Imperial College London United Kingdom
variability mitigation
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Justin Cappos
New York University United States of America
vulnerability mitigation
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Neil Ferguson
University of Southampton United Kingdom
variability
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