These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

1103 related articles for article (PubMed ID: 23607562)

  • 1. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Bayesian phylogeny analysis via stochastic approximation Monte Carlo.
    Cheon S; Liang F
    Mol Phylogenet Evol; 2009 Nov; 53(2):394-403. PubMed ID: 19589389
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Correcting for ascertainment bias in the inference of population structure.
    Guillot G; Foll M
    Bioinformatics; 2009 Feb; 25(4):552-4. PubMed ID: 19136550
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A quasi-Monte Carlo Metropolis algorithm.
    Owen AB; Tribble SD
    Proc Natl Acad Sci U S A; 2005 Jun; 102(25):8844-9. PubMed ID: 15956207
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Searching for efficient Markov chain Monte Carlo proposal kernels.
    Yang Z; Rodríguez CE
    Proc Natl Acad Sci U S A; 2013 Nov; 110(48):19307-12. PubMed ID: 24218600
    [TBL] [Abstract][Full Text] [Related]  

  • 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
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Comparing variational Bayes with Markov chain Monte Carlo for Bayesian computation in neuroimaging.
    Nathoo FS; Lesperance ML; Lawson AB; Dean CB
    Stat Methods Med Res; 2013 Aug; 22(4):398-423. PubMed ID: 22642986
    [TBL] [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
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Bayesian Analysis for Exponential Random Graph Models Using the Adaptive Exchange Sampler.
    Jin IH; Yuan Y; Liang F
    Stat Interface; 2013 Oct; 6(4):559-576. PubMed ID: 24653788
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Monte Carlo method for calculating Bayesian uncertainties in internal dosimetry.
    Puncher M; Birchall A
    Radiat Prot Dosimetry; 2008; 132(1):1-12. PubMed ID: 18806256
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A general construction for parallelizing Metropolis-Hastings algorithms.
    Calderhead B
    Proc Natl Acad Sci U S A; 2014 Dec; 111(49):17408-13. PubMed ID: 25422442
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Sequential Monte Carlo without likelihoods.
    Sisson SA; Fan Y; Tanaka MM
    Proc Natl Acad Sci U S A; 2007 Feb; 104(6):1760-5. PubMed ID: 17264216
    [TBL] [Abstract][Full Text] [Related]  

  • 15. An attraction-repulsion point process model for respiratory syncytial virus infections.
    Goldstein J; Haran M; Simeonov I; Fricks J; Chiaromonte F
    Biometrics; 2015 Jun; 71(2):376-85. PubMed ID: 25660222
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Comment on "On the Metropolis-Hastings acceptance probability to add or drop a quantitative trait locus in Markov chain Monte Carlo-based Bayesian analyses".
    Sillanpää MJ; Gasbarra D; Arjas E
    Genetics; 2004 Jun; 167(2):1037. PubMed ID: 15238553
    [No Abstract]   [Full Text] [Related]  

  • 17. Significance of conformational biases in Monte Carlo simulations of protein folding: lessons from Metropolis-Hastings approach.
    Przytycka T
    Proteins; 2004 Nov; 57(2):338-44. PubMed ID: 15340921
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Bayesian inference of risk ratio of two proportions using a double sampling scheme.
    Rahardja D; Young DM
    J Biopharm Stat; 2011 May; 21(3):393-404. PubMed ID: 21442515
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Convergence Rates for the Constrained Sampling via Langevin Monte Carlo.
    Zhu Y
    Entropy (Basel); 2023 Aug; 25(8):. PubMed ID: 37628264
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Bayesian adaptive Markov chain Monte Carlo estimation of genetic parameters.
    Mathew B; Bauer AM; Koistinen P; Reetz TC; Léon J; Sillanpää MJ
    Heredity (Edinb); 2012 Oct; 109(4):235-45. PubMed ID: 22805656
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 56.