Probability Analysis Professors in Global

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Alain De Janvry
University of California, Berkeley United States of America
impact analysis
quantitative analysis
poverty analysis
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Xiao Liu
University of Texas at Austin United States of America
statistical power analysis
sensitivity analysis
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Alexander Hauptmann
Carnegie Mellon University United States of America
image analysis
video analysis
audio analysis
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Peter Kuchment
Texas A&M University United States of America
functional analysis
geometric analysis
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Yann Bernard
Monash University Australia
functional analysis
geometric analysis
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Iosif Polterovich
University of Montreal Canada
functional analysis
geometric analysis
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David Parker
University of Oxford United Kingdom
probabilistic verification
probabilistic model checking
quantitative analysis
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Marta Kwiatkowska
University of Oxford United Kingdom
probabilistic model checking
quantitative analysis
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Herbert Wiklicky
Imperial College London United Kingdom
analysis and learning
probabilistic structures
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John Ward
University College London United Kingdom
impact analysis
multi-criteria analysis
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Rayjean Hung
University of Toronto Canada
quantitative analysis
risk prediction
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Sunita Ghosh
University of Alberta Canada
predictive survival analysis
survival analysis
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Tony Cass
Imperial College London United Kingdom
clinical analysis
environmental analysis
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Mark Burton
University of Southern Denmark Denmark
statistical analysis
sequential analysis
genome analysis
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Hyukjun Gweon
Western University Canada
predictive analytics
predictive model assessment
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Daniel Apley
Northwestern University United States of America
predictive analytics
statistical modeling and analysis
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Mohammad Asghari-jafarabadi
Monash University Australia
clinical trials analysis
survival analysis
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Sharon Christ
Purdue University United States of America
complex sample data analysis
survival analysis
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James Williams
Massachusetts Institute of Technology United States of America
seismic analysis
stress analysis
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Debaraj Sen
Concordia University Canada
survival analysis
statistical inferences
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Daniel Roy
University of Toronto Canada
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probabilistic programming
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