Bayesian methods in cosmology /
Hobson, M. P.(Michael Paul),1967-
Cambridge : Cambridge University Press,
2010.
"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"--Provided by publisher.
"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"--Provided by publisher.
Includes bibliographical references and index.
Foundations and algorithms / John Skilling -- Simple applications of Bayesian methods / D.S. Sivia and S.G. Rawlings -- Parameter estimation using Monte Carlo sampling / Antony Lewis and Sarah Bridle -- Model selection and multi-model inference / Andrew R. Liddle, Pia Mukherjee and David Parkinson -- Bayesian experimental design and model selection forecasting / Roberto Trotta ... [et al.] -- Signal separation in cosmology / M.P. Hobson, M.A.J. Ashdown and V. Stolyarov -- Bayesian source extraction / M.P. Hobson, Graça Rocha and Richard S. Savage -- Flux measurement / Daniel Mortlock -- Gravitational wave astronomy / Neil Cornish -- Bayesian analysis of cosmic microwave background data / Andrew H. Jaffe -- Bayesian multilevel modelling of cosmological populations / Thomas J. Loredo and Martin A. Hendry -- A Bayesian approach to galaxy evolution studies / Stefano Andreon -- Photometric redshift estimation : methods and applications / Ofer Lahav, Filipe B. Abdalla and Manda Banerji.
"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"--Provided by publisher.
"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"--Provided by publisher.
Cosmology
Bayesian statistical decision theory.