000			02511cam a2200253 a 4500
001			0000061121
003			0001
008			120228s2012 nju b 001 0 eng
020			_a9781118332573 (pbk.)
040			_aDLC _cDLC _dDLC
042			_apcc
082	0	0	_a519.5 42 _223
084			_a519.542 _bLEE-B _2bisacsh
100	1		_aLee, Peter M.
245	1	0	_aBayesian statistics _h[Book] : _ban introduction / _cPeter M. Lee.
250			_a4th ed.
260			_aChichester, West Sussex ; _aHoboken, N.J. :, _c2012.
300			_axxiii, 462 p. ; _c23 cm.
520			_a"- Presents extensive examples throughout the book to complement the theory presented.Includes significant new material on recent techniques such as variational methods, importance sampling, approximate computation and reversible jump MCMC"-- This new fourth edition looks at recent techniques such as variational methods, Bayesian importance sampling, approximate Bayesian computation and Reversible Jump Markov Chain Monte Carlo (RJMCMC), providing a concise account of the way in which the Bayesian approach to statistics develops as well as how it contrasts with the conventional approach. The theory is built up step by step, and important notions such as sufficiency are brought out of a discussion of the salient features of specific examples. This edition:Includes expanded coverage of Gibbs sampling, including more numerical examples and treatments of OpenBUGS, R2WinBUGS and R2OpenBUGS. Presents significant new material on recent techniques such as Bayesian importance sampling, variational Bayes, Approximate Bayesian Computation (ABC) and Reversible Jump Markov Chain Monte Carlo (RJMCMC). Provides extensive examples throughout the book to complement the theory presented. Accompanied by a supporting website featuring new material and solutions. More and more students are realizing that they need to learn Bayesian statistics to meet their academic and professional goals. This book is best suited for use as a main text in courses on Bayesian statistics for third and fourth year undergraduates and postgraduate students. _cProvided by publisher.
521			_aAll.
650		0	_aBayesian statistical decision theory.
650		0	_aMATHEMATICS / Probability & Statistics / Bayesian Analysis. _2bisacsh.
852			_p44295 _95524.32 _h519.542 LEE-B _vMulti-Line Books Lahore CUI Lahore _bGround Floor _dBooks _t1 _q1-New _aJZL-CUI
999			_c77346 _d77346