Seminar: 07 May 2018 - Marta Nai Ruscone
Monday, May 7th - 02:30 p.m. - Classroom "Amministrazione", (Sapienza University of Rome, Via del Castro Laurenziano 9, Rome - Faculty of Economics, 4th floor)
Speacker: Marta Nai Ruscone (School of Economics and Management LIUC, Castellanza (VA))
Finite mixtures are applied to perform model-based clustering of multivariate data. Existing models are not flexible enough for modelling the dependence of multivariate data since they rely on potentially undesirable correlation restrictions to be computationally tractable. We discuss a model-based clustering method via R-vine copula to understand the complex and hidden dependence patterns in correlated multivariate data. One of the advantages of this approach is that it accounts for the tail asymmetry of the data by using blocks of asymmetric bivariate copulas. We use simulated and real datasets to illustrate the proposed procedure.
All interested persons are cordially invited to participate.