Aguêmon Yves Atchadé
I'm Associate Professor of Statistics at the
University of Michigan
Department of Statistics.
My current research interests revolve around computational methods in
statistics, with an emphasis on high-dimensional problems.
- A central theme of my research are Monte Carlo
methods. My 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, my current research revolves around the use of stochastic
methods in optimization, and whether (and how) this can help tackle
large scale statistical problems.
- I also have a growing interest in the use of remote sensing data
to study social and environmental issues in Africa.
- I have a postdoc opening on high-dimensional Bayesian asymptotics and computation. Email me if interested.
New Technical Reports
- Hyperspectral image unmixing: Accounting for wavelength dependence (file in pdf here). Joint
work with Chia Chye Yee.