Data Correction Techniques Professors in Global

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Matthew Mayernik
University of Washington United States of America
metadata practices
data citation
data curation education
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Adriano Polpo
University of Western Australia Australia
resampling techniques
classification methods
predictive data analysis
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Sarah Collins
University of Texas at Austin United States of America
statistical methodologies
program evaluation techniques
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Emad Alsusa
University of Manchester United Kingdom
scheduling techniques
equalization techniques
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Joshua Cape
University of Wisconsin–Madison United States of America
data analysis
statistical methodology
statistical tools
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Oliver Wieben
University of Wisconsin–Madison United States of America
post-processing methods
data acquisition methods
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Ehsan Samei
Duke University Singapore
experimental techniques
simulation methods
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Panos Toulis
University of Chicago Booth School of Business United States of America
resampling methods
statistics optimization
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Elkafi Hassini
McMaster University Canada
big data optimization
data-driven optimization
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Peter Hurley
University of Melbourne Australia
analytic methods
combinatorial methods
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Sameer Mehta
Erasmus University Rotterdam Netherlands
quantitative techniques
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Congfang Huang
Purdue University United States of America
quantitative techniques
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Trisha Nowland
Macquarie University Australia
quantitative techniques
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Christian Vincelette
University of Montreal Canada
quantitative techniques
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Timothy Mcquade
University of California, Berkeley United States of America
quantitative techniques
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Hedderik Van Rijn
University of Groningen Netherlands
advanced statistical techniques
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Ajuna Azad
Technical University of Denmark Denmark
data strategy
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Douglas Laney
University of Illinois United States of America
data strategy
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Manon Guillemette
University of Sherbrooke Canada
data strategy
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Alexander De Leon
University of Calgary Canada
methods for correlated data
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Alexander De Leon
University of Calgary Canada
methods for correlated data
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