Carissimi colleghi, scusandomi per eventuali invii multipli, vi inoltro il seguente annuncio di short-course patrocinato da IASC (International Association for Statistical Computing).
Tutti gli interessati sono invitati a partecipare.
Cordialmente, Enea Bongiorno
-------------------------------- - data e orario: 14 Maggio 2024 ore 10.30 - aula 207, campus Perrone, via Perrone, 18, Novara. Università del Piemonte Orientale "Amedeo Avogadro" - on-line: https://meet.google.com/qse-iafg-wim
Title: Bayes spaces for functional data analysis of density functions: from univariate to multivariate setting
Speakers: Jitka Machalova, Palacký University Olomouc, Czech Republic Karel Hron, Palacký University Olomouc, Czech Republic Alessandra Menafoglio, Politecnico di Milano, Italy
Abstract: The analysis of distributional data (probability density functions or histogram data) has recently gained increasing attention in the applications. Distributional data are often observed by themselves, or as result of aggregation of large streams of data. The short course will provide an introduction to the analysis of these data using a Functional Data Analysis (FDA) approach, grounded on the perspective of Bayes spaces. These spaces are mathematical spaces whose points are densities (or, more generally, measures), which generalize to the FDA setting the Aitchison simplex for multivariate compositional data. The course will give an overview of the theory of Bayes spaces in their univariate and multivariate settings. All FDA methods, presented there, will be illustrated through examples from real case studies.
The short course will provide an opportunity to gain new insight into FDA of univariate and multivariate density functions through the lens of the Bayes spaces methodology.
The course is supported by the European regional section of the International Association for Statistical Computing (IASC - iasc-isi.org) an association of the International Statistical Institute (ISI - isi-web.org).