Keywords include Mixture Models for Cluster Analysis, Random partition models, MCMC for Bayesian nonparametrics, Random probability measures, point processes, Dirichlet processes and generalizations, Exchangeability and partial exchangeability, Predictive inference, Statistical models for environmental applications, and Statistical models for gender gap in labor market access.
Research Experience
Researcher at CNR-IMATI, November 1996 - February 2005; Associate Professor in Probability and Mathematical Statistics, Politecnico di Milano, March 2005 - December 2015; Full Professor in Statistics at Politecnico di Milano from January 2016.
Education
Degree in Mathematics, Università degli Studi di Milano, 1990; Doctorate in Mathematics, Università degli Studi di Milano, 1997.
Background
Main research interests are focused on Bayesian inference (parametric and nonparametric), with emphasis on modelling and computational aspects. One of the topics currently working on is mixture models where location parameters are a priori encouraged to be well separated, also incorporating covariate information in the likelihood and in the assignment to mixture components.
Miscellany
Contact via email: alessandra.guglielmi@polimi.it; For interest in theses or projects in Bayesian Statistics, check the 'Bacheca tesi' from Servizi online.