Prognostic Methods Professors in Global

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Marie-louise Landry
Yale School of Medicine United States of America
prognosis
diagnostic techniques
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Emma Davis
University of Warwick United Kingdom
surveillance methods
forecasting
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Stephen Broomell
Purdue University United States of America
forecasting
methodology
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Jay Emerson
Yale University United States of America
bayesian methods
graphical methods
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Shiva Tavallaey
KTH Royal Institute of Technology Sweden
data-driven methods
probabilistic analysis
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Charles Kenley
Purdue University United States of America
quantitative methods
bayesian methods
modeling and simulation methods
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Karima Dyussekeneva
University College London United Kingdom
forecasting
predictive analytics
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Man-wai Chu
University of Calgary Canada
quantitative research methods
applied statistical methods
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Christina Kendziorski
University of Wisconsin–Madison United States of America
empirical bayes methods
bayes methods
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Marnie Howlett
University of Oxford United Kingdom
visual methods
qualitative methodologies
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Imre Pázsit
Chalmers University of Technology Sweden
machine learning methods
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Xiao Liu
University of Texas at Austin United States of America
machine learning methods
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Sergey Kravchenko
University of British Columbia Canada
machine learning methods
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Jie Liu
Carleton University Canada
prognostics and health management
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Jonathan Pritchard
Stanford University United States of America
statistical methods in genomics
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Markus Buehler
Massachusetts Institute of Technology United States of America
molecular modeling methods
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Plamena Panayotova
University of Glasgow United Kingdom
sociological methods
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Jason Ferguson
University of California, Berkeley United States of America
sociological methods
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Shuva Gupta
University of Pennsylvania United States of America
penalized methods
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Gayle Maloney
Yale University United States of America
psychological techniques
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Stepán Plachý
Umeå University Sweden
parsing methods
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