TY  - BOOK
AU  - Hjort,Nils Lid
AU  - Holmes,Chris
AU  - Müller,Peter
AU  - Walker,Stephen G.
TI  - Bayesian Nonparametrics
T2  - Cambridge Series in Statistical and Probabilistic Mathematics
SN  - 9780511802478 (ebook)
AV  - QA278.8 .B39 2010
U1  - 519.5/42 22
PY  - 2010///
CY  - Cambridge
PB  - Cambridge University Press
KW  - Nonparametric statistics
KW  - Bayesian statistical decision theory
N1  - Title from publisher's bibliographic system (viewed on 04 Apr 2016)
N2  - Bayesian nonparametrics works - theoretically, computationally. The theory provides highly flexible models whose complexity grows appropriately with the amount of data. Computational issues, though challenging, are no longer intractable. All that is needed is an entry point: this intelligent book is the perfect guide to what can seem a forbidding landscape. Tutorial chapters by Ghosal, Lijoi and Prünster, Teh and Jordan, and Dunson advance from theory, to basic models and hierarchical modeling, to applications and implementation, particularly in computer science and biostatistics. These are complemented by companion chapters by the editors and Griffin and Quintana, providing additional models, examining computational issues, identifying future growth areas, and giving links to related topics. This coherent text gives ready access both to underlying principles and to state-of-the-art practice. Specific examples are drawn from information retrieval, NLP, machine vision, computational biology, biostatistics, and bioinformatics
UR  - http://dx.doi.org/10.1017/CBO9780511802478
ER  -