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From Wikipedia, the free encyclopedia
Michael David Escobar is an American biostatistician who is known for Bayesian nonparametrics, mixture models.
Escobar earned a degree in mathematics at Tufts University in 1981 followed by a doctorate in statistics at Yale University in 1988 under the supervision of John Hartigan. Between 1990 and 1994, he was an assistant professor at Carnegie Mellon University.[1] Escobar subsequently joined the University of Toronto faculty.[1][2] In 2015, he was elected a fellow of the American Statistical Association.[3]
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