I am interested in Simulation, Bayesian Statistics and Applied Statistics: efficient random variate generation, MCMC algorithms, Bayesian non- and semi-parametric methods. So far, mixture model analysis, regression analysis and model selection.

This graphic displays a density estimate (left), for the famous galaxy dataset, and scaled density estimates with the single best clustering (right). To generate the scaled density estimates and the single best clustering we need to deal with the label switching problem.

You can download my PhD thesis: Contributions to the Bayesian Analysis of Mixture Models, here.

My Google Scholar profile is available here . And pre-prints for some of my papers and technicals reports are available through my Research Gate profile, here .