MARC Record from Library of Congress

LEADER: 02920cam a2200289 a 4500
001 2009037744
003 DLC
005 20100628154112.0
008 090911s2010 enka b 001 0 eng
010 $a 2009037744
020 $a9780521513463 (hardback)
020 $a0521513464 (hardback)
035 $a(OCoLC)ocn441945339
040 $aDLC$cDLC$dYDX$dYDXCP$dBWX$dCDX$dUBY$dDLC
050 00 $aQA278.8$b.B39 2010
082 00 $a519.5/42$222
245 00 $aBayesian nonparametrics /$cedited by Nils Lid Hjort ... [et al.].
260 $aCambridge, UK ;$aNew York :$bCambridge University Press,$c2010.
300 $aviii, 299 p. :$bill. ;$c27 cm.
490 1 $aCambridge series in statistical and probabilistic mathematics ;$v28
504 $aIncludes bibliographical references and indexes.
520 $a"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"--Provided by publisher.
505 0 $aAn 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.
650 0 $aNonparametric statistics.
650 0 $aBayesian statistical decision theory.
700 1 $aHjort, Nils Lid.
830 0 $aCambridge series in statistical and probabilistic mathematics ;$v28.