000			04136nam a2200397 a 4500
001			0000123430
005			20171002060607.0
006			m u
007			cr cn|||||||||
008			090821s2010 enka sb 001 0 eng
010			_z 2009035034
015			_aGBA991107 _2bnb
016	7		_z015371392 _2Uk
020			_z9780521887946 (hardback)
020			_z0521887941 (hardback)
035			_a(CaPaEBR)ebr10399249
035			_a(OCoLC)646816279
040			_aCaPaEBR _cCaPaEBR
050	1	4	_aQB991.S73 _bB34 2010eb
082	0	4	_a523.101/519542 _222
245	0	0	_aBayesian methods in cosmology _h[electronic resource] / _c[edited by] Michael P. Hobson ... [et al.].
260			_aCambridge, UK ; _aNew York : _bCambridge University Press, _c2010.
300			_axii, 303 p. : _bill.
504			_aIncludes bibliographical references and index.
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			_a"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.
520			_a"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.
533			_aElectronic reproduction. _bPalo Alto, Calif. : _cebrary, _d2013. _nAvailable via World Wide Web. _nAccess may be limited to ebrary affiliated libraries.
650		0	_aCosmology _xStatistical methods.
650		0	_aBayesian statistical decision theory.
655		7	_aElectronic books. _2local
700	1		_aHobson, M. P. _q(Michael Paul), _d1967-
710	2		_aebrary, Inc.
856	4	0	_uhttp://site.ebrary.com/lib/daystar/Doc?id=10399249 _zAn electronic book accessible through the World Wide Web; click to view
908			_a170314
942	0	0	_cEB
999			_c112579 _d112579