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Bayesian nonparametrics /

"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 b...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Hjort, Nils Lid
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge, UK ; New York : Cambridge University Press, 2010.
Colección:Cambridge series on statistical and probabilistic mathematics ; 28.
Temas:
Acceso en línea:Texto completo
Descripción
Sumario:"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
Descripción Física:1 online resource (viii, 299 pages) : illustrations
Bibliografía:Includes bibliographical references (pages 290-291) and indexes.
ISBN:9780511675362
0511675364
9780511802478
0511802471
9780511673382
0511673388
1107206073
9781107206076
9786613067968
6613067962
0511674171
9780511674174
0511670834
9780511670831