Multiple Hypothesis Testing Professors in Global

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Isabella Verdinelli
Carnegie Mellon University United States of America
hypothesis testing
multiple testing theory
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Lei Sun
University of Toronto Canada
multiple hypothesis testing
multivariate analyses
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Grant Hillier
University of Southampton United Kingdom
hypothesis testing
multivariate models
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Hongmei Jiang
Northwestern University United States of America
multiple tests
multiple comparisons
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Wei Liu
York University Canada
multiple imputation
order-restricted hypothesis testing
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Yuehua Wu
York University Canada
multivariate analysis
multiple change-point analysis
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Jian-bo Yang
University of Manchester United Kingdom
multiple criteria decision analysis
probabilistic inference
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David Parker
University of Oxford United Kingdom
probabilistic model checking
probabilistic verification
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Qiong Yang
Boston University United States of America
multiple testing problems
multivariate phenotypes
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Bouchra Nasri
University of Montreal Canada
multivariate analysis
multilevel analysis
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Catherine Rinaldi
University of Western Australia Australia
multiplex analysis
multiplex cytometry bead assay
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Allan Nielsen
Technical University of Denmark Denmark
multi-hyperspectral image processing
multivariate statistics
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Muirne Paap
University of Groningen Netherlands
multidimensional computerized adaptive testing
test theory
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Jinhan Kim
Università della Svizzera italiana Switzerland
mutation testing
deep learning system testing
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Gill Schierhout
University of New South Wales Australia
evidence synthesis
mixed methods research
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Shuangning Li
University of Chicago Booth School of Business United States of America
multiple hypothesis testing
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Zhimei Ren
University of Pennsylvania United States of America
multiple hypothesis testing
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Wenkai Xu
University of Warwick United Kingdom
hypothesis testing
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Rianne De Heide
University of Twente Netherlands
hypothesis testing
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Zoltán Szabó
London School of Economics and Political Science United Kingdom
hypothesis testing
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Allan Wurtz
Aarhus University Denmark
hypothesis testing
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