Bayesian Nonparametrics is popular PDF and ePub book, written by Nils Lid Hjort in 2010-04-12, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Bayesian Nonparametrics can be Read Online from any device for your convenience.
Bayesian Nonparametrics Book PDF Summary
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.
Detail Book of Bayesian Nonparametrics PDF
- Author : Nils Lid Hjort
- Release : 12 April 2010
- Publisher : Cambridge University Press
- ISBN : 9781139484602
- Genre : Mathematics
- Total Page : 309 pages
- Language : English
- PDF File Size : 19,7 Mb
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