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Mathematics & Statistics · College of Arts & Sciences · Computing & Data Sciences

Aguêmon Yves Atchadé

A computational statistician developing Markov chain Monte Carlo methods and studying the theoretical properties of Bayesian procedures. His work builds statistical machinery for high-dimensional inference and applies it to environmental prediction, spanning both the asymptotic theory of sampling algorithms and their practical use on large datasets.

Last verified: August 25, 2026

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