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Journal Abstract Search
405 related items for PubMed ID: 23500498
1. Adaptive Markov chain Monte Carlo for auxiliary variable method and its application to parallel tempering. Araki T, Ikeda K. Neural Netw; 2013 Jul; 43():33-40. PubMed ID: 23500498 [Abstract] [Full Text] [Related]
2. Parallel tempering for strongly nonlinear geoacoustic inversion. Dosso SE, Holland CW, Sambridge M. J Acoust Soc Am; 2012 Nov; 132(5):3030-40. PubMed ID: 23145589 [Abstract] [Full Text] [Related]
3. A Monte Carlo Metropolis-Hastings algorithm for sampling from distributions with intractable normalizing constants. Liang F, Jin IH. Neural Comput; 2013 Aug; 25(8):2199-234. PubMed ID: 23607562 [Abstract] [Full Text] [Related]
4. Extended state-space Monte Carlo methods. Opps SB, Schofield J. Phys Rev E Stat Nonlin Soft Matter Phys; 2001 May; 63(5 Pt 2):056701. PubMed ID: 11415039 [Abstract] [Full Text] [Related]
5. Abrupt motion tracking via intensively adaptive Markov-chain Monte Carlo sampling. Zhou X, Lu Y, Lu J, Zhou J. IEEE Trans Image Process; 2012 Feb; 21(2):789-801. PubMed ID: 21937350 [Abstract] [Full Text] [Related]
6. Parallel excluded volume tempering for polymer melts. Bunker A, Dünweg B. Phys Rev E Stat Nonlin Soft Matter Phys; 2001 Jan; 63(1 Pt 2):016701. PubMed ID: 11304387 [Abstract] [Full Text] [Related]
10. Trans-dimensional geoacoustic inversion of wind-driven ambient noise. Quijano JE, Dosso SE, Dettmer J, Zurk LM, Siderius M. J Acoust Soc Am; 2013 Jan; 133(1):EL47-53. PubMed ID: 23298017 [Abstract] [Full Text] [Related]
11. A gradient Markov chain Monte Carlo algorithm for computing multivariate maximum likelihood estimates and posterior distributions: mixture dose-response assessment. Li R, Englehardt JD, Li X. Risk Anal; 2012 Feb; 32(2):345-59. PubMed ID: 21906114 [Abstract] [Full Text] [Related]
12. Markov chain Monte Carlo methods for radiation hybrid mapping. Heath SC. J Comput Biol; 1997 Feb; 4(4):505-15. PubMed ID: 9385542 [Abstract] [Full Text] [Related]
13. Is anoxic depolarisation associated with an ADC threshold? A Markov chain Monte Carlo analysis. King MD, Crowder MJ, Hand DJ, Harris NG, Williams SR, Obrenovitch TP, Gadian DG. NMR Biomed; 2005 Dec; 18(8):587-94. PubMed ID: 16273507 [Abstract] [Full Text] [Related]
14. Geometrical recombination operators for real-coded evolutionary MCMCs. Drugan MM, Thierens D. Evol Comput; 2010 Dec; 18(2):157-98. PubMed ID: 20210599 [Abstract] [Full Text] [Related]
15. Bayesian uncertainty quantification and propagation in molecular dynamics simulations: a high performance computing framework. Angelikopoulos P, Papadimitriou C, Koumoutsakos P. J Chem Phys; 2012 Oct 14; 137(14):144103. PubMed ID: 23061835 [Abstract] [Full Text] [Related]
16. Monte Carlo estimation of total variation distance of Markov chains on large spaces, with application to phylogenetics. Herbei R, Kubatko L. Stat Appl Genet Mol Biol; 2013 Mar 26; 12(1):39-48. PubMed ID: 23459470 [Abstract] [Full Text] [Related]
17. A Metropolis Monte Carlo implementation of bayesian time-domain parameter estimation: application to coupling constant estimation from antiphase multiplets. Andrec M, Prestegard JH. J Magn Reson; 1998 Feb 26; 130(2):217-32. PubMed ID: 9500892 [Abstract] [Full Text] [Related]
18. The highest confidence density region and its usage for joint inferences about constrained parameters. Tian L, Wang R, Cai T, Wei LJ. Biometrics; 2011 Jun 26; 67(2):604-10. PubMed ID: 20825392 [Abstract] [Full Text] [Related]
19. Problems with determination of noncommunicating classes for Monte Carlo Markov chain applications in pedigree analysis. Jensen CS, Sheehan N. Biometrics; 1998 Jun 26; 54(2):416-25. PubMed ID: 9629636 [Abstract] [Full Text] [Related]
20. Markov chain Monte Carlo method without detailed balance. Suwa H, Todo S. Phys Rev Lett; 2010 Sep 17; 105(12):120603. PubMed ID: 20867621 [Abstract] [Full Text] [Related] Page: [Next] [New Search]