Bayesian Nonparametrics

Klappentext The most intelligent guide to the hottest field in statistics. Zusammenfassung Bayesian nonparametrics works. Applications are appearing in such disciplines as information retrieval, NLP, machine vision, computational biology, cognitive science, signal processing. In this coherent introduction, the editors weave together tutorial chapters by Ghosal, Lijoi and Prünster, Dunson, and Teh and Jordan, giving direct access to these exciting ideas and methods. Inhaltsverzeichnis An invitation to Bayesian nonparametrics Nils Lid Hjort, Chris Holmes, Peter Müller and Stephen G. Walker; 1. Bayesian nonparametric methods: motivation and ideas Stephen G. Walker; 2. The Dirichlet process, related priors, and posterior asymptotics Subhashis Ghosal; 3. Models beyond the Dirichlet process Antonio Lijoi and Igor Prünster; 4. Further models and applications Nils Lid Hjort; 5. Hierarchical Bayesian nonparametric models with applications Yee Whye Teh and Michael I. Jordan; 6. Computational issues arising in Bayesian nonparametric hierarchical models Jim Griffin and Chris Holmes; 7. Nonparametric Bayes applications to biostatistics David B. Dunson; 8. More nonparametric Bayesian models for biostatistics Peter Müller and Fernando Quintana; Author index; Subject index.

Product details

• Authors: Nils Lid Hjort, Nils Lid Holmes Hjort
• Assisted by: Nils Lid Hjort (Editor), Chris Holmes (Editor), Peter Muller (Editor), Peter Müller (Editor), Stephen G. Walker (Editor)
• Publisher: Cambridge University Press ELT
• Languages: English
• Product format: Hardback
• Released: 12.04.2010
• EAN: 9780521513463
• ISBN: 978-0-521-51346-3
• No. of pages: 308
• Series: Cambridge Series in Statistical and Probabilistic Mathematics; Cambridge Series in Statistical and Probabilistic; Cambridge Series in Statistical and Probabilistic Mathematics; Cambridge Series in Statistical and Probabilistic
• Subject: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics