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Handbook of Markov chain Monte Carlo

Brooks, Steve, (1970-)

Handbook of Markov chain Monte Carlo

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Handbook of Markov chain Monte Carloedited by Steve Brooks ... [et al.].
其他作者:	Brooks, Steve,
出版者:	Boca Raton ;CRC Press,©2011.
面頁冊數:	1 online resource (xxv, 592 p.) :ill., maps.
附註:	"A Chapman & Hall book."
標題:	Monte Carlo method.
電子資源:	http://www.crcnetbase.com/doi/book/10.1201/b10905
ISBN:	9781420079425 (electronic bk.)

Handbook of Markov chain Monte Carlo
Handbook of Markov chain Monte Carlo[electronic resource] /edited by Steve Brooks ... [et al.]. - Boca Raton ;CRC Press,©2011. - 1 online resource (xxv, 592 p.) :ill., maps. - Chapman & Hall/CRC handbooks of modern statistical methods. - Chapman & Hall/CRC handbooks of modern statistical methods..

"A Chapman & Hall book."

Includes bibliographical references and index.

Foundations, methodology, and algorithms.Charles J. Geyer ;

ISBN: 9781420079425 (electronic bk.)Subjects--Topical Terms:

186286
Monte Carlo method.

LC Class. No.: QA298 / .H236 2011

Dewey Class. No.: 519.233

Handbook of Markov chain Monte Carlo
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245 0 0 $a Handbook of Markov chain Monte Carlo $h [electronic resource] / $c edited by Steve Brooks ... [et al.].
260 $a Boca Raton ; $a London : $b CRC Press, $c ©2011.
300 $a 1 online resource (xxv, 592 p.) : $b ill., maps.
490 1 $a Chapman & Hall/CRC handbooks of modern statistical methods
500 $a "A Chapman & Hall book."
504 $a Includes bibliographical references and index.
505 0 0 $t Foundations, methodology, and algorithms. $t Introduction to Markov chain Monte Carlo / $r Charles J. Geyer ; $t A short history of MCMC : $t subjective recollections from incomplete data / $r Christian Robert and George Casella ; $t Reversible jump MCMC / $r Yanan Fan and Scott A. Sisson ; $t Optimal proposal distributions and adaptive MCMC / $r Jeffrey S. Rosenthal ; $t MCMC using Hamiltonian dynamics / $r Radford M. Neal ; $t Inference from simulations and monitoring convergence / $r Andrew Gelman and Kenneth Shirley ; $t Implementing MCMC : $t estimating with confidence / $r James M. Flegal and Galin L. Jones ; $t Perfection within reach : $t exact MCMC sampling / $r Radu V. Craiu and Xiao-Li Meng ; $t Spatial point processes / $r Mark Huber ; $t The data augmentation algorithm : $t theory and methodology / $r James P. Hobert ; $t Importance sampling, simulated tempering, and umbrella sampling / $r Charles J. Geyer ; $t Likelihood-free MCMC / $r Scott A. Sisson and Yanan Fan -- $t Applications and case studies. $t MCMC in the analysis of genetic data on related individuals / $r Elizabeth Thompson ; $t An MCMC-based analysis of a multilevel model for functional MRI data / $r Brian Caffo [and others] ; $t Partially collapsed Gibbs sampling and path-adaptive metropolis-Hastings in high-energy astrophysics / $r David A. van Dyk and Taeyoung Park ; $t Posterior exploration for computationally intensive forward models / $r David Higdon [and others] ; $t Statistical ecology / $r Ruth King ; $t Gaussian random field models for spatial data / $r Murali Haran ; $t Modeling preference changes via a hidden Markov item response theory model / $r Jong Hee Park ; $t Parallel Bayesian MCMC imputation for multiple distributed lag models : $t a case study in environmental epidemiology / $r Biran Caffo [and others] ; $t MCMC for state-space models / $r Paul Fearnhead ; $t MCMC in educational research / $r Roy Levy, Robert J. Mislevy, and John T. Behrens -- $t Applications of MCMC in fisheries science / $r Russell B. Millar ; $t Model comparison and simulation for hierarchical models : $t analyzing rural-urban migration in Thailand / $r Filiz Garip and Bruce Western.
650 0 $a Monte Carlo method. $3 186286
650 0 $a Monte Carlo method $v Congresses. $3 387284
650 0 $a Markov processes. $3 181910
650 0 $a Markov processes $v Textbooks. $3 445844
700 1 $a Brooks, Steve, $d 1970- $3 544744
830 0 $a Chapman & Hall/CRC handbooks of modern statistical methods. $3 507067
856 4 0 $u http://www.crcnetbase.com/doi/book/10.1201/b10905