Alessandra Guglielmi

Research

My research interests are mainly focused on Bayesian inference (parametric and nonparametric), with emphasis on modelling and computational aspects. One of the topic I am 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; this yields a trade-off between repulsiveness of locations in the mixtures and attraction among subjects with similar covariates. From the application point of view, my work concerns statistics for Medicine (e.g. recurrent events related to hearth failures, survival after an infarction), Health care management (e.g. home care providers, recurrent blood donations), Biology (e.g. SNP's data) and Engineering (e.g. topic modelling); see the list of my papers.

Research keywords

• Mixture Models for Cluster Analysis
• Random partition models
• MCMC for Bayesian nonparametrics
• Random probability measures, random measures and point processes
• Dirichlet processes and generalizations
• Exchangeability and partial exchangeability
• Predictive inference
• Distribution theory
• Bayesian generalized linear mixed models - Regression models for survival analysis
• Applications in Biostatistics

Open the list of papers

Teaching/Theses

All materials for the course Bayesian Statistics I teach can be find on the WeBeep repository (students/people with Polimi credentials only).
See also the list of my reaserch interests here above.
Contact me if you are interested in topics in Bayesian Statistics.

How to reach me

Email E-mail address: alessandra.guglielmi@polimi.it

Politecnico di Milano, Department of Mathematics, P.zza Leonardo da Vinci 32, 20133, Milano
        Building 14 ("La Nave"), 2nd floor

Tel.: +39 02 23994641