Contributions to bayesian nonparametric and objective Bayes literature

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dc.contributor.advisor Billio, Monica it_IT Rossini, Luca <1987> it_IT 2016-12-07 it_IT 2017-05-22T06:02:38Z 2017-01-24 it_IT
dc.description.abstract The thesis contributes to the literature on Bayesian nonparametrics by proposing two approaches, the first one related to time series analysis with a focus on sparsity of the matrix of coefficients and the second one to conditional copula models with an application to twin data. On the other hand, the thesis contributes to the literature on the analysis of the Yule-Simon distribution by proposing two objective priors on the parameter of the distribution and a Gibbs sampling algorithm for the analysis of the posterior distribution. it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Luca Rossini, 2017 it_IT
dc.title Contributions to bayesian nonparametric and objective Bayes literature it_IT
dc.title.alternative it_IT
dc.type Doctoral Thesis it_IT Economia it_IT Dottorato di ricerca it_IT Dipartimento di Economia it_IT
dc.description.academicyear 2015/2016, sessione 29° ciclo it_IT
dc.description.cycle 29 it_IT Pasini, Giacomo <1976> it_IT
dc.location.shelfmark D001683 it_IT
dc.location Venezia, Archivio Università Ca' Foscari, Tesi Dottorato it_IT
dc.rights.accessrights openAccess it_IT
dc.thesis.matricno 956080 it_IT
dc.format.pagenumber XVIII, 140 p. it_IT
dc.subject.miur SECS-P/05 ECONOMETRIA it_IT
dc.description.note it_IT it_IT Casarin, Roberto <1975> it_IT
dc.provenance.upload Luca Rossini (, 2016-12-07 it_IT
dc.provenance.plagiarycheck Monica Billio (, 2017-01-19 it_IT

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