Yves Atchadé

Mathematics & Statistics, CAS

Ph.D., Universite de Montreal
B.S., Ecole Nationale Superieure de Statistique et d’Economie Appliquee
B.S., Université Nationale du Bénin
111 Cummington Mall, Boston, MA RM 270

Professor, Department of Mathematics and Statistics, CAS

Yves Atchade is a Professor of Statistics at Boston University, Department of Mathematics and Statistics. His current research interests revolve around computational methods in statistics, with an emphasis on high-dimensional problems. A central theme of his research is Monte Carlo methods. His current research explores the possibilities and limits of Markov Chain Monte Carlo methods in dealing with posterior or quasi-posterior distributions that arise from high-dimensional Bayesian (or quasi-Bayesian) inference in regression and graphical models. In optimization, his current research revolves around the use of stochastic methods in optimization, and whether (and how) this can help tackle large scale statistical problems. He also has a growing interest in the use of remote sensing data to study social and environmental issues in Africa. He has a postdoc opening on high-dimensional Bayesian asymptotics and computation.

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