Bayesian Methods in Cosmology

Bayesian Methods in Cosmology. Edited by Michael P. Hobson, Andrew H. Jaffe, Andrew R. Liddle, Pia Mukherjee and David Parkinson Cambridge, UK ; New York: Cambridge University Press, 2010.

Title Bayesian Methods in Cosmology
Place of Publication Cambridge, UK ; New York
Publisher Cambridge University Press
Publication year 2010
Sub-type Edited book
ISBN 9780521887946
Editor Michael P. Hobson
Andrew H. Jaffe
Andrew R. Liddle
Pia Mukherjee
David Parkinson
Total number of pages 316
Collection year 2011
Abstract/Summary 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
Q-Index Code AX
Q-Index Status Confirmed Code
Institutional Status Non-UQ

Document type: Book
Collections: School of Mathematics and Physics
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Created: Mon, 28 Feb 2011, 11:54:19 EST by Dr David Parkinson on behalf of Physics