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Bayesian Methods in Cosmology [Paperback]

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  • Category: Books (Science)
  • ISBN-10:  1107631750
  • ISBN-10:  1107631750
  • ISBN-13:  9781107631755
  • ISBN-13:  9781107631755
  • Publisher:  Cambridge University Press
  • Publisher:  Cambridge University Press
  • Pages:  316
  • Pages:  316
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-May-2014
  • Pub Date:  01-May-2014
  • SKU:  1107631750-11-MPOD
  • SKU:  1107631750-11-MPOD
  • Item ID: 100725112
  • Seller: ShopSpell
  • Ships in: 2 business days
  • Transit time: Up to 5 business days
  • Delivery by: Jun 30 to Jul 02
  • Notes: Brand New Book. Order Now.
Comprehensive introduction to Bayesian methods in cosmological studies, for graduate students and researchers in cosmology, astrophysics and applied statistics.An essential reference for graduate students and researchers in cosmology, astrophysics and applied statistics, this timely book is the only comprehensive introduction to the use of Bayesian methods in cosmological studies. Contributions from 24 highly regarded cosmologists and statisticians make this an authoritative guide to the subject.An essential reference for graduate students and researchers in cosmology, astrophysics and applied statistics, this timely book is the only comprehensive introduction to the use of Bayesian methods in cosmological studies. Contributions from 24 highly regarded cosmologists and statisticians make this an authoritative guide to the subject.In recent years cosmologists have advanced from largely qualitative models of the Universe to precision modelling using Bayesian methods, in order to determine the properties of the Universe to high accuracy. This timely book is the only comprehensive introduction to the use of Bayesian methods in cosmological studies, and is an essential reference for graduate students and researchers in cosmology, astrophysics and applied statistics. The first part of the book focuses on methodology, setting the basic foundations and giving a detailed description of techniques. It covers topics including the estimation of parameters, Bayesian model comparison, and separation of signals. The second part explores a diverse range of applications, from the detection of astronomical sources (including through gravitational waves), to cosmic microwave background analysis and the quantification and classification of galaxy properties. Contributions from 24 highly regarded cosmologists and statisticians make this an authoritative guide to the subject.Preface; Part I. Methods: 1. Foundations and algorithms John Skilling; 2. Simple applications of Bayesian methods l#œ
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