Invariant Measures Professors in Global

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Kimberly Kelly
Michigan State University United States of America
measurement
quantitative methods
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Spyros Konstantopoulos
Michigan State University United States of America
measurement
quantitative methods
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Matthias Bickel
ETH Zurich Switzerland
inverse optimization
inverse reinforcement learning
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Stephen Humphry
University of Western Australia Australia
measurement and evaluation
quantitative methods
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Wim Van Der Stede
London School of Economics and Political Science United Kingdom
performance measurement
internal controls
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Gholamreza Amin
University of New Brunswick Canada
inverse optimization
performance measurement and management
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Bouchra Nasri
University of Montreal Canada
multivariate analysis
quantitative methods
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Christopher Nye
Michigan State University United States of America
psychological measurement
quantitative methods
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Mark Himmelstein
Georgia Institute of Technology United States of America
psychological measurement
quantitative methods
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Jeffrey Spence
University of Guelph Canada
psychological measurement
quantitative methods
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Paul Mcdermott
University of Pennsylvania United States of America
measurement theory
quantitative methods
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Susu Zhang
University of Illinois United States of America
measurement theory
quantitative methods
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Cagri Sert
University of Warwick United Kingdom
invariant measures
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Anders Öberg
Uppsala University Sweden
invariant measures
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Justin Forlano
Monash University Australia
invariant measures
quasi-invariant measures
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Nikolay Nikolov
University of Oxford United Kingdom
invariants
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Gregor Kemper
Technical University of Munich Germany
invariant theory
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Hans Boden
McMaster University Canada
invariant theory
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Abraham Broer
Université de Montréal Canada
invariant theory
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Wei Ho
University of Michigan United States of America
invariant theory
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Ruibin Zhang
University of Sydney Australia
invariant theory
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