[Forum SIS] Seminario Dott. A. Canale

[Dip. Scienze Statistiche - Mi]

Il Dipartimento di Scienze Statistiche dell'Università Cattolica del Sacro Cuore ha organizzato un seminario, presentato dal Dott. Antonio CANALE, dell'Università di Torino, dal titolo:



Bayesian Nonparametric Models for Count Data



Giovedì 14 Novembre dalle ore 11,30

in Aula G 253



Università Cattolica del Sacro Cuore - Milano

Largo Gemelli,1 - Edificio Lanzone 18

Abstract:
Count data arise in many contexts but usual parametric statistical modelling is often too restrictive and not enough flexible to capture rich multivariate interactions or complex time dependence.
Motivated by a variety of real applications including customer base management of telecommunications companies, longitudinal tumor studies, and developmental toxicity studies, this talk introduces novel Bayesian nonparametric models for count data.
Bayesian nonparametrics is a relatively young area of research which has recently received a bundant attention in the statistical literature. The considerable degree of flexibility it ensures and the development of efficient computational tools pushed both its theoretical development and its use in a number of complex real world problems.
Although Bayesian nonparametric models for continuous variables are well developed, the literature on related approaches for counts is limited.
For this reason, I will discuss recent contributions to probability mass function estimation (Canale and Dunson, 2011, JASA) and count stochastic process modeling (Canale and Dunson, 2013, Biometrika).
The main idea is to induce prior distributions on count spaces via priors on suitable latent continuous spaces and mapping functions. The procedures enjoy important theoretical properties such as large support of the prior and strong posterior consistency. Efficient Gibbs samplers are developed for posterior computation.
All the approaches are introduced and motivated by an application.



Segreteria Organizzativa:
Sig.ra Barbara Villa
Tel. 02-7234.2647 - Fax 02-7234.3064
e-mail: dip.scienzestatistiche at unicatt.it<mailto:dip.scienzestatistiche at unicatt.it>

Dipartimento di Scienze statistiche
Università Cattolica del Sacro Cuore
Largo Gemelli, 1
Edificio Via Lanzone, 18
20123 Milano
http://dipartimenti.unicatt.it/scienze_statistiche


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