Multivariate Data Methods Professors in Global

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John Anderson
Carnegie Mellon University United States of America
mathematical methods
statistical methods
computational methods
behavioral methods
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Dave Touretzky
Carnegie Mellon University United States of America
mathematical methods
statistical methods
computational methods
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Jamal Hossain
University of Southampton United Kingdom
statistical machine learning methods
multilevel modelling
quantitative research methods
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Mike Tarr
Carnegie Mellon University United States of America
mathematical methods
statistical methods
behavioral methods
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Alice Richardson
Australian National University Australia
data mining methods
statistical methods for large datasets
multilevel modeling
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Rozina Somani
University of Saskatchewan Canada
mixed methods
qualitative methodology
quantitative methodology
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Chandra Sripada
University of Michigan United States of America
multivariate methodology
computational methods
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Sunmee Kim
University of Manitoba Canada
multivariate prediction
longitudinal data methods
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Reza Mohammadi
University of Amsterdam Netherlands
multivariate data analysis
computational methods
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Trevor Park
University of Illinois United States of America
multivariate exploratory methods
optimization methods
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Richard Cook
University of Waterloo Canada
multivariate analysis
statistical methods
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Peter Hoff
Duke University Singapore
multivariate analysis
statistical methods
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Bouchra Nasri
University of Montreal Canada
multivariate analysis
quantitative methods
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Bill Laverty
University of Saskatchewan Canada
multivariate statistics
applied statistical methods
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Jeffrey Douglas
University of Illinois United States of America
multivariate categorical data analysis
quantitative methods
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Xiao-qing Liu
University of Manitoba Canada
multivariate analysis
multi-omic data
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Shoja'eddin Chenouri
University of Waterloo Canada
multivariate quality control
multivariate nonparametric robust methods
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Kassel Hingee
Australian National University Australia
constrained multivariate data
statistical methods
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Thad Dunning
University of California, Berkeley United States of America
multi-method research
statistical methods
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Paul Mcnicholas
McMaster University Canada
multivariate longitudinal data
mixed-type data
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Janine Illian
University of Glasgow United Kingdom
multivariate forecasting
statistical methodology
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