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By
Stephen G. Walker (editor),
Chris Holmes (editor),
Peter Muller (editor) and
Nils Lid Hjort (editor)
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Jump down to see edition details for: Hardcover
Bibliographic Detail
Publisher
Cambridge Univ Pr
Publication date
April 30, 2010
Pages
299
Binding
Hardcover
Book category
Adult Non-Fiction
ISBN-13
9780521513463
ISBN-10
0521513464
Dimensions
0.75 by 7 by 10 in.
Weight
1.85 lbs.
Original list price
$84.99
Other format details
university press
Amazon.com says people who bought this book also bought:
Fundamentals of Nonparametric Bayesian Inference (Cambridge Series in Statistical and Probabilistic Mathematics) | Causal Inference in Statistics | Bayesian Data Analysis | Categorical Data Analysis | Bayesian Reasoning and Machine Learning | Information Theory, Inference and Learning Algorithms | Bayesian Nonparametric Data Analysis
Fundamentals of Nonparametric Bayesian Inference (Cambridge Series in Statistical and Probabilistic Mathematics) | Causal Inference in Statistics | Bayesian Data Analysis | Categorical Data Analysis | Bayesian Reasoning and Machine Learning | Information Theory, Inference and Learning Algorithms | Bayesian Nonparametric Data Analysis
Summaries and Reviews
Amazon.com description: Product Description: 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 PrĂ¼nster, 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.
Editions
Hardcover
The price comparison is for this edition
With Peter Muller (other contributor), Nils Lid Hjort (other contributor), Stephen G. Walker (other contributor) |
from Cambridge Univ Pr (April 30, 2010)
9780521513463 | details & prices | 299 pages | 7.00 × 10.00 × 0.75 in. | 1.85 lbs | List price $84.99
About: Bayesian nonparametrics works - theoretically, computationally.
About: Bayesian nonparametrics works - theoretically, computationally.
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