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Journal Abstract Search

329 related items for PubMed ID: 18479268

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  • 2. Identifiability of parameters and behaviour of MCMC chains: a case study using the reaction norm model.
    Shariati MM, Korsgaard IR, Sorensen D.
    J Anim Breed Genet; 2009 Apr; 126(2):92-102. PubMed ID: 19320765
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  • 6. Hierarchical Bayesian estimates of distributed MEG sources: theoretical aspects and comparison of variational and MCMC methods.
    Nummenmaa A, Auranen T, Hämäläinen MS, Jääskeläinen IP, Lampinen J, Sams M, Vehtari A.
    Neuroimage; 2007 Apr 01; 35(2):669-85. PubMed ID: 17300961
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  • 9. Guided tree topology proposals for Bayesian phylogenetic inference.
    Höhna S, Drummond AJ.
    Syst Biol; 2012 Jan 01; 61(1):1-11. PubMed ID: 21828081
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  • 10. Identifiability of parameters in MCMC Bayesian inference of phylogeny.
    Rannala B.
    Syst Biol; 2002 Oct 01; 51(5):754-60. PubMed ID: 12396589
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  • 12. Searching for convergence in phylogenetic Markov chain Monte Carlo.
    Beiko RG, Keith JM, Harlow TJ, Ragan MA.
    Syst Biol; 2006 Aug 01; 55(4):553-65. PubMed ID: 16857650
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  • 15. 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 01; 109(4):235-45. PubMed ID: 22805656
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  • 17. Empirical significance values for linkage analysis: trait simulation using posterior model distributions from MCMC oligogenic segregation analysis.
    Igo RP, Wijsman EM.
    Genet Epidemiol; 2008 Feb 01; 32(2):119-31. PubMed ID: 17849492
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  • 18. Monte Carlo estimation of mixed models for large complex pedigrees.
    Guo SW, Thompson EA.
    Biometrics; 1994 Jun 01; 50(2):417-32. PubMed ID: 8068842
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  • 19. Finding starting points for Markov chain Monte Carlo analysis of genetic data from large and complex pedigrees.
    Luo Y, Lin S.
    Genet Epidemiol; 2003 Jul 01; 25(1):14-24. PubMed ID: 12813723
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