AguĂȘmon Yves AtchadĂ©

I'm Associate Professor of Statistics at the University of Michigan Ann Arbor, 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.

Some relevant links

The /  The Institute of Mathematical Statistics  /  The American Statistical Association  /  The International Society for Bayesian Analysis  /  The University of Michigan Musical Society  /  Access to Global Research in Agriculture (AGORA)  /  An interesting repository of datasets (  /  A key publisher of african literature (Les Editions Presence Africaine)  /