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...
Clasificación: | Libro Electrónico |
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Otros Autores: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Cambridge, UK ; New York :
Cambridge University Press,
2010.
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Colección: | Cambridge series on statistical and probabilistic mathematics ;
28. |
Temas: | |
Acceso en línea: | Texto completo |
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 |
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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 |