Bayesian Nonparametrics

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  • Bayesian Nonparametrics Book Detail

  • Author : Nils Lid Hjort
  • Release Date : 2010-04-12
  • Publisher : Cambridge University Press
  • Genre : Mathematics
  • Pages : 309
  • ISBN 13 : 1139484605
  • File Size : 62,62 MB

Bayesian Nonparametrics by Nils Lid Hjort PDF Summary

Book 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.

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Bayesian Nonparametrics

Bayesian Nonparametrics

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Bayesian nonparametrics works - theoretically, computationally. The theory provides highly flexible models whose complexity grows appropriately with the amount

Bayesian Nonparametrics

Bayesian Nonparametrics

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This book is the first systematic treatment of Bayesian nonparametric methods and the theory behind them. It will also appeal to statisticians in general. The b

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This book reviews nonparametric Bayesian methods and models that have proven useful in the context of data analysis. Rather than providing an encyclopedic revie