000			03267nam a22003498i 4500
001			CR9780511802461
003			UkCbUP
005			20200124160315.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			101021s2010||||enk o ||1 0|eng|d
020			_a9780511802461 (ebook)
020			_z9780521887946 (hardback)
020			_z9781107631755 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQB991.S73 _bB34 2010
082	0	0	_a523.101/519542 _222
245	0	0	_aBayesian methods in cosmology / _c[edited by] Michael P. Hobson [and four others].
264		1	_aCambridge : _bCambridge University Press, _c2010.
300			_a1 online resource (xii, 303 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505	0		_aFoundations 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.
520			_aIn 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.
650		0	_aCosmology _xStatistical methods.
650		0	_aBayesian statistical decision theory.
700	1		_aHobson, M. P. _q(Michael Paul), _d1967- _eeditor.
776	0	8	_iPrint version: _z9780521887946
856	4	0	_uhttps://doi.org/10.1017/CBO9780511802461
999			_c521416 _d521414