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portada Bayesian Nonparametrics Hardback (Cambridge Series in Statistical and Probabilistic Mathematics)
Type
Physical Book
Illustrated by
Publisher
Author
Year
2010
Language
English
Pages
308
Format
Hardcover
Dimensions
25.4 x 17.8 x 2.3 cm
Weight
0.73 kg.
ISBN
0521513464
ISBN13
9780521513463
Edition No.
1
Categories

Bayesian Nonparametrics Hardback (Cambridge Series in Statistical and Probabilistic Mathematics)

Peter Muller (Illustrated by) · Nils Lid Hjort (Illustrated by) · Chris Holmes (Illustrated by) · Cambridge University Press · Hardcover

Bayesian Nonparametrics Hardback (Cambridge Series in Statistical and Probabilistic Mathematics) - Hjort, Nils Lid ; Holmes, Chris ; Müller, Peter

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Delivery: 20 Aug - 27 Aug Shipping: 5 to 6 business days.
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Synopsis "Bayesian Nonparametrics Hardback (Cambridge Series in Statistical and Probabilistic Mathematics) "

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.

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