Two tales about Bayesian nonparametric modeling

التفاصيل البيبلوغرافية
العنوان: Two tales about Bayesian nonparametric modeling
المؤلفون: Pierpaolo De Blasi, Stefano Favaro, LIJOI, ANTONIO, Ramses H. Mena, PRUENSTER, IGOR
المساهمون: Pierpaolo De, Blasi, Stefano, Favaro, Lijoi, Antonio, Ramses H., Mena, Pruenster, Igor
بيانات النشر: American Statistical Association
USA
Alexandria, VA
سنة النشر: 2012
المجموعة: Università Commerciale Luigi Bocconi: CINECA IRIS
مصطلحات موضوعية: Bayesian nonparametric, Bayesian consistency, Dirichlet proce, discrete random probability measure, Gibbs–type prior, predictive distribution, species sampling
الوصف: Gibbs–type priors represent a natural generalization of the Dirichlet process: indeed, they select discrete distributions and can be characterized in terms of a system of predictive distributions that admit a simple and intuitive interpretation. By resorting to specific members of this wide class we address two important issues: (i) frequentist consistency; (ii) estimation of the discovery probability in species sampling problems. As for (i) we point out that Gibbs–type priors are consistent at discrete distributions whereas inconsistency may arise if the true distribution is diffuse thus highlighting that discrete nonparametric priors are typically consistent for the models they are designed for, namely data arising from discrete distributions. As for (ii), we emphasize how discrete nonparametric priors are well suited for addressing species sampling issues and display Bayesian nonparametric estimators of the probability of “discovering” a species that has appeared with any given frequency. These estimators can be compared with the frequentist counterparts, whenever the latter are available. Their practical use allows one appreciate the merits of the Bayesian nonparametric approach, which ensures that all objects of potential interest are modeled jointly and coherently.
نوع الوثيقة: conference object
وصف الملف: ELETTRONICO
اللغة: English
Relation: info:eu-repo/semantics/altIdentifier/isbn/9780983937524; ispartofbook:JSM 2012 Proceedings; Joint Statistical Meetings 2012; numberofpages:1696-1706; http://hdl.handle.net/11565/3989949; http://www.amstat.org/meetings/jsm/2012/
الاتاحة: http://hdl.handle.net/11565/3989949
http://www.amstat.org/meetings/jsm/2012/
رقم الانضمام: edsbas.D331C731
قاعدة البيانات: BASE