Propensity Score Matching Professors in Global

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Mark Ward
Purdue University United States of America
pattern matching
applied probability
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Panagiotis Charalampopoulos
King's College London United Kingdom
approximate pattern matching
sequence similarity
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Esteban Peralta
University of Michigan United States of America
matching theory
matching implementation theory
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Miklos Racz
Northwestern University United States of America
probability
applied probability
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J Ganesh
University of Bristol United Kingdom
probability
applied probability
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Wenlong Mou
University of Toronto Canada
probability
applied probability
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Miklos Racz
Northwestern University United States of America
probability
applied probability
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Sheldon Lin
University of Toronto Canada
probability
applied probability
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Sushil Varma
University of Michigan United States of America
dynamic matching
applied probability
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Steve Alpern
University of Warwick United Kingdom
decentralized matching theory
mutual-choice matching problems
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Ying Zheng
University of Southampton United Kingdom
machine scoring
human scoring
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Jenna Sykes
University of Toronto Canada
propensity score matching
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Felix Thoemmes
Cornell University Netherlands
propensity scores
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Theo Bakker
Vrije Universiteit Amsterdam Netherlands
propensity score weighting
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Eshetu Atenafu
University of Toronto Canada
propensity score methods
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Zihuan Cao
Brown University United States of America
propensity score methods
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Wendy Chan
University of Pennsylvania United States of America
propensity score methods
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Lukas Holik
Aalborg University Denmark
pattern matching
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Ayman Hussein
Technical University of Denmark Denmark
pattern matching
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Loek Cleophas
Eindhoven University of Technology Belgium
pattern matching
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Travis Gagie
Dalhousie University Canada
pattern matching
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