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Bayesian and Non-Inductive Methods (Philosophy of Science)

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Published by Routledge .
Written in English

Subjects:

  • Philosophy Of Science,
  • Science,
  • Science/Mathematics,
  • Philosophy & Social Aspects,
  • Philosophy / General,
  • Philosophy,
  • General,
  • Methodology,
  • Physics

Book details:

The Physical Object
FormatLibrary binding
Number of Pages316
ID Numbers
Open LibraryOL8048181M
ISBN 100815334923
ISBN 109780815334927

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Broadening its scope to nonstatisticians, Bayesian Methods for Data Analysis, Third Edition provides an accessible introduction to the foundations and applications of Bayesian analysis. Along with a complete reorganization of the material, this edition concentrates more on hierarchical Bayesian modeling as implemented via Markov chain Monte Carlo (MCMC) methods Reviews: 5. This book could be used for three separate graduate courses: regression methods for independent data; regression methods for dependent data; and nonparametric regression and classification. the book would be a valuable asset for graduate students, researchers in the area of Bayesian and frequentist methods . The book builds carefully from the basic classical methods to the most recent trends, with chapters written to be as self-contained as possible, making the text suitable for different courses: pattern recognition, statistical/adaptive signal processing, statistical/Bayesian . Bayesian Biostatistics introduces the reader smoothly into the Bayesian statistical methods with chapters that gradually increase in level of complexity. Master students in biostatistics, applied statisticians and all researchers with a good background in classical statistics who have interest in Bayesian methods will find this book .