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Journal Abstract Search

351 related items for PubMed ID: 23475357

  • 1. Estimating the granularity coefficient of a Potts-Markov random field within a Markov chain Monte Carlo algorithm.
    Pereyra M, Dobigeon N, Batatia H, Tourneret JY.
    IEEE Trans Image Process; 2013 Jun; 22(6):2385-97. PubMed ID: 23475357
    [Abstract] [Full Text] [Related]

  • 2. 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]

  • 3. Estimation of Markov random field prior parameters using Markov chain Monte Carlo maximum likelihood.
    Descombes X, Morris RD, Zerubia J, Berthod M.
    IEEE Trans Image Process; 1999 Aug; 8(7):954-63. PubMed ID: 18267508
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  • 4. Local Autoencoding for Parameter Estimation in a Hidden Potts-Markov Random Field.
    Song S, Si B, Herrmann JM, Feng X.
    IEEE Trans Image Process; 2016 May; 25(5):2324-36. PubMed ID: 27019491
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  • 5. 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
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  • 6. Weighted maximum posterior marginals for random fields using an ensemble of conditional densities from multiple Markov chain Monte Carlo simulations.
    Monaco JP, Madabhushi A.
    IEEE Trans Med Imaging; 2011 Jul; 30(7):1353-64. PubMed ID: 21335309
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  • 7. 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; 130(2):217-32. PubMed ID: 9500892
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  • 8. A general construction for parallelizing Metropolis-Hastings algorithms.
    Calderhead B.
    Proc Natl Acad Sci U S A; 2014 Dec 09; 111(49):17408-13. PubMed ID: 25422442
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  • 9. BAYESIAN INFERENCE OF STOCHASTIC REACTION NETWORKS USING MULTIFIDELITY SEQUENTIAL TEMPERED MARKOV CHAIN MONTE CARLO.
    Catanach TA, Vo HD, Munsky B.
    Int J Uncertain Quantif; 2020 Dec 09; 10(6):515-542. PubMed ID: 34007522
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  • 10. A Bayesian hidden Potts mixture model for analyzing lung cancer pathology images.
    Li Q, Wang X, Liang F, Yi F, Xie Y, Gazdar A, Xiao G.
    Biostatistics; 2019 Oct 01; 20(4):565-581. PubMed ID: 29788035
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  • 11. An algorithm for Monte Carlo estimation of genotype probabilities on complex pedigrees.
    Lin S, Thompson E, Wijsman E.
    Ann Hum Genet; 1994 Oct 01; 58(4):343-57. PubMed ID: 7864590
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  • 12. Bayesian Computational Methods for Sampling from the Posterior Distribution of a Bivariate Survival Model, Based on AMH Copula in the Presence of Right-Censored Data.
    Saraiva EF, Suzuki AK, Milan LA.
    Entropy (Basel); 2018 Aug 27; 20(9):. PubMed ID: 33265731
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  • 13. A Bootstrap Metropolis-Hastings Algorithm for Bayesian Analysis of Big Data.
    Liang F, Kim J, Song Q.
    Technometrics; 2016 Aug 27; 58(3):604-318. PubMed ID: 29033469
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  • 14. Maximum-likelihood parameter estimation for unsupervised stochastic model-based image segmentation.
    Zhang J, Modestino JW, Langan DA.
    IEEE Trans Image Process; 1994 Aug 27; 3(4):404-20. PubMed ID: 18291939
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  • 15. Gibbs-Slice Sampling Algorithm for Estimating the Four-Parameter Logistic Model.
    Zhang J, Lu J, Du H, Zhang Z.
    Front Psychol; 2020 Aug 27; 11():2121. PubMed ID: 33041882
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  • 16. Variational method for estimating the rate of convergence of Markov-chain Monte Carlo algorithms.
    Casey FP, Waterfall JJ, Gutenkunst RN, Myers CR, Sethna JP.
    Phys Rev E Stat Nonlin Soft Matter Phys; 2008 Oct 27; 78(4 Pt 2):046704. PubMed ID: 18999558
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  • 17. Ascertainment correction for Markov chain Monte Carlo segregation and linkage analysis of a quantitative trait.
    Ma J, Amos CI, Warwick Daw E.
    Genet Epidemiol; 2007 Sep 27; 31(6):594-604. PubMed ID: 17487893
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  • 18. Bayesian phylogeny analysis via stochastic approximation Monte Carlo.
    Cheon S, Liang F.
    Mol Phylogenet Evol; 2009 Nov 27; 53(2):394-403. PubMed ID: 19589389
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  • 19. VMCMC: a graphical and statistical analysis tool for Markov chain Monte Carlo traces.
    Ali RH, Bark M, Miró J, Muhammad SA, Sjöstrand J, Zubair SM, Abbas RM, Arvestad L.
    BMC Bioinformatics; 2017 Feb 10; 18(1):97. PubMed ID: 28187712
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  • 20. A Novel and Highly Effective Bayesian Sampling Algorithm Based on the Auxiliary Variables to Estimate the Testlet Effect Models.
    Lu J, Zhang J, Zhang Z, Xu B, Tao J.
    Front Psychol; 2021 Feb 10; 12():509575. PubMed ID: 34456774
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