Multivariate Data Methods Professors in Global

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Kirstie Ken English
University of Glasgow United Kingdom
quantitative methods
mixed methods social research
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Judith Singer
Harvard University United States of America
quantitative methods
multilevel modeling
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Alice Richardson
Australian National University Australia
data mining methods
statistical methods for large datasets
multilevel modeling
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Robert Martin
University of Manitoba Canada
multivariable operator theory
multivariate hardy spaces
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Bruno Castanho Silva
Freie Universität Berlin Germany
quantitative methods
empirical methods
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Allan Wurtz
Aarhus University Denmark
quantitative methods
panel data methods
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David Kaplan
University of Wisconsin–Madison United States of America
quantitative methods
bayesian statistical methods
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Wen Luo
Texas A&M University United States of America
multilevel modeling
statistical methodologies
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Julija Zavadlav
Technical University of Munich Germany
predictive computational methods
multi-resolution simulation techniques
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Ting-huei Chen
Laval University Canada
biostatistical methods
computational methods in statistics
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Somnath Ghosh
Johns Hopkins University United States of America
multiscale modeling
multi-physics modeling
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Matty Kennedy
University of Southampton United Kingdom
quantitative methodologies
qualitative methodologies
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Anna Fetter
Duke University Singapore
quantitative methodologies
qualitative methodologies
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Emre Ilhan
Macquarie University Australia
quantitative methodologies
qualitative methodologies
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Roselia Murillo
University of Texas at Austin United States of America
quantitative methodologies
qualitative methodologies
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Morty Yalovsky
McGill University Canada
forecasting methods
statistical methodology
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Bingxin Zhao
Purdue University United States of America
statistical methodologies
data analysis techniques
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Michael Vock
University of Bern Switzerland
statistical methodology
sampling methods
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Rozina Somani
University of Saskatchewan Canada
mixed methods
qualitative methodology
quantitative methodology
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Eric Kerrigan
Imperial College London United Kingdom
multi-objective optimization
numerical optimization methods
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Jordan Rickles
University of California Los Angeles United States of America
causal inference methods
quantitative methodology
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