000			03691nam a2200397 a 4500
005			20250919002728.0
008			150312s2011 flua b 001 0 eng
020			_a9781420079418 _q(hardcover : alk. paper) _cRM408.43
020			_a1420079417 (hardcover : alk. paper)
039		9	_a201508181152 _bbaiti _c201508041602 _dbinar _y03-12-2015 _zbinar
040			_aDLC _beng _cSTF _dUKM _dYDXCP _dBTCTA _dBAKER _dRLA _dFDA _dMTG _dBDX _dUBY _dPUL _dOCLCF _dCHVBK _dCRCPR _dOCLCQ _erda _dUKM
090			_aQA274.7.H364
090			_aQA274.7 _b.H364
245	0	0	_aHandbook of Markov chain Monte Carlo / _cedited by Steve Brooks [and others].
264		1	_aBoca Raton : _bCRC Press/Taylor & Francis, _c2011.
264		4	_c© 2011
300			_axxv, 592 pages : _billustrations ; _c26 cm.
336			_atext _2rdacontent
337			_aunmediated _2rdamedia
338			_avolume _2rdacarrier
490	1		_aChapman & Hall/CRC handbooks of modern statistical methods
504			_aIncludes bibliographical references and index.
505	0	0	_tFoundations, methodology, and algorithms. _tIntroduction to Markov chain Monte Carlo / _rCharles J. Geyer ; _tA short history of MCMC : _tsubjective recollections from incomplete data / _rChristian Robert and George Casella ; _tReversible jump MCMC / _rYanan Fan and Scott A. Sisson ; _tOptimal proposal distributions and adaptive MCMC / _rJeffrey S. Rosenthal ; _tMCMC using Hamiltonian dynamics / _rRadford M. Neal ; _tInference from simulations and monitoring convergence / _rAndrew Gelman and Kenneth Shirley ; _tImplementing MCMC : _testimating with confidence / _rJames M. Flegal and Galin L. Jones ; _tPerfection within reach : _texact MCMC sampling / _rRadu V. Craiu and Xiao-Li Meng ; _tSpatial point processes / _rMark Huber ; _tThe data augmentation algorithm : _ttheory and methodology / _rJames P. Hobert ; _tImportance sampling, simulated tempering, and umbrella sampling / _rCharles J. Geyer ; _tLikelihood-free MCMC / _rScott A. Sisson and Yanan Fan -- _tApplications and case studies. _tMCMC in the analysis of genetic data on related individuals / _rElizabeth Thompson ; _tAn MCMC-based analysis of a multilevel model for functional MRI data / _rBrian Caffo [and others] ; _tPartially collapsed Gibbs sampling and path-adaptive metropolis-Hastings in high-energy astrophysics / _rDavid A. van Dyk and Taeyoung Park ; _tPosterior exploration for computationally intensive forward models / _rDavid Higdon [and others] ; _tStatistical ecology / _rRuth King ; _tGaussian random field models for spatial data / _rMurali Haran ; _tModeling preference changes via a hidden Markov item response theory model / _rJong Hee Park ; _tParallel Bayesian MCMC imputation for multiple distributed lag models : _ta case study in environmental epidemiology / _rBiran Caffo [and others] ; _tMCMC for state-space models / _rPaul Fearnhead ; _tMCMC in educational research / _rRoy Levy, Robert J. Mislevy, and John T. Behrens -- _tApplications of MCMC in fisheries science / _rRussell B. Millar ; _tModel comparison and simulation for hierarchical models : _tanalyzing rural-urban migration in Thailand / _rFiliz Garip and Bruce Western.
650		0	_aMarkov processes.
650		0	_aMonte Carlo method.
700	1		_aBrooks, Steve, _d1970-
830		0	_aChapman & Hall/CRC handbooks of modern statistical methods.
907			_a.b16092314 _b2019-11-12 _c2019-11-12
942			_c01 _n0 _kQA274.7.H364
914			_avtls003580682
990			_abety
991			_aFakulti Sains dan Teknologi
998			_at _b2015-12-03 _cm _da _feng _gflu _y0 _z.b16092314
999			_c588306 _d588306