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527 related items for PubMed ID: 25720091

  • 1. Bayesian inference for Markov jump processes with informative observations.
    Golightly A, Wilkinson DJ.
    Stat Appl Genet Mol Biol; 2015 Apr; 14(2):169-88. PubMed ID: 25720091
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  • 2. Markov chain Monte Carlo inference for Markov jump processes via the linear noise approximation.
    Stathopoulos V, Girolami MA.
    Philos Trans A Math Phys Eng Sci; 2013 Feb 13; 371(1984):20110541. PubMed ID: 23277599
    [Abstract] [Full Text] [Related]

  • 3. Likelihood free inference for Markov processes: a comparison.
    Owen J, Wilkinson DJ, Gillespie CS.
    Stat Appl Genet Mol Biol; 2015 Apr 13; 14(2):189-209. PubMed ID: 25720092
    [Abstract] [Full Text] [Related]

  • 4. Bayesian inference for stochastic kinetic models using a diffusion approximation.
    Golightly A, Wilkinson DJ.
    Biometrics; 2005 Sep 13; 61(3):781-8. PubMed ID: 16135029
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  • 5. Inference in high-dimensional parameter space.
    O'Hare A.
    J Comput Biol; 2015 Nov 13; 22(11):997-1004. PubMed ID: 26176624
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  • 7. Bayesian parameter inference for stochastic biochemical network models using particle Markov chain Monte Carlo.
    Golightly A, Wilkinson DJ.
    Interface Focus; 2011 Dec 06; 1(6):807-20. PubMed ID: 23226583
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  • 10. 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 06; 21(2):789-801. PubMed ID: 21937350
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  • 11. Parameter inference for discretely observed stochastic kinetic models using stochastic gradient descent.
    Wang Y, Christley S, Mjolsness E, Xie X.
    BMC Syst Biol; 2010 Jul 21; 4():99. PubMed ID: 20663171
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  • 13. Bayesian phylogeny analysis via stochastic approximation Monte Carlo.
    Cheon S, Liang F.
    Mol Phylogenet Evol; 2009 Nov 21; 53(2):394-403. PubMed ID: 19589389
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  • 14. Bayesian inference of risk ratio of two proportions using a double sampling scheme.
    Rahardja D, Young DM.
    J Biopharm Stat; 2011 May 21; 21(3):393-404. PubMed ID: 21442515
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  • 16. A strategy for Bayesian inference for computationally expensive models with application to the estimation of stem cell properties.
    Overstall AM, Woods DC.
    Biometrics; 2013 Jun 21; 69(2):458-68. PubMed ID: 23421643
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  • 19. A comparison of Monte Carlo-based Bayesian parameter estimation methods for stochastic models of genetic networks.
    Mariño IP, Zaikin A, Míguez J.
    PLoS One; 2017 Jun 21; 12(8):e0182015. PubMed ID: 28797087
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  • 20. An adaptive Kriging surrogate method for efficient joint estimation of hydraulic and biochemical parameters in reactive transport modeling.
    Zhou J, Su X, Cui G.
    J Contam Hydrol; 2018 Sep 21; 216():50-57. PubMed ID: 30170768
    [Abstract] [Full Text] [Related]

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