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PUBMED FOR HANDHELDS

Journal Abstract Search


358 related items for PubMed ID: 30021928

  • 1. Inference-based assessment of parameter identifiability in nonlinear biological models.
    Daly AC, Gavaghan D, Cooper J, Tavener S.
    J R Soc Interface; 2018 Jul; 15(144):. PubMed ID: 30021928
    [Abstract] [Full Text] [Related]

  • 2. Inference in high-dimensional parameter space.
    O'Hare A.
    J Comput Biol; 2015 Nov; 22(11):997-1004. PubMed ID: 26176624
    [Abstract] [Full Text] [Related]

  • 3. Bayesian inference using Hamiltonian Monte-Carlo algorithm for nonlinear joint modeling in the context of cancer immunotherapy.
    Kerioui M, Mercier F, Bertrand J, Tardivon C, Bruno R, Guedj J, Desmée S.
    Stat Med; 2020 Dec 30; 39(30):4853-4868. PubMed ID: 33032368
    [Abstract] [Full Text] [Related]

  • 4. Likelihood free inference for Markov processes: a comparison.
    Owen J, Wilkinson DJ, Gillespie CS.
    Stat Appl Genet Mol Biol; 2015 Apr 30; 14(2):189-209. PubMed ID: 25720092
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  • 5. Bayesian inference for fitting cardiac models to experiments: estimating parameter distributions using Hamiltonian Monte Carlo and approximate Bayesian computation.
    Nieto Ramos A, Fenton FH, Cherry EM.
    Med Biol Eng Comput; 2023 Jan 30; 61(1):75-95. PubMed ID: 36322242
    [Abstract] [Full Text] [Related]

  • 6. Joining forces of Bayesian and frequentist methodology: a study for inference in the presence of non-identifiability.
    Raue A, Kreutz C, Theis FJ, Timmer J.
    Philos Trans A Math Phys Eng Sci; 2013 Feb 13; 371(1984):20110544. PubMed ID: 23277602
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  • 7. Comparing two sequential Monte Carlo samplers for exact and approximate Bayesian inference on biological models.
    Daly AC, Cooper J, Gavaghan DJ, Holmes C.
    J R Soc Interface; 2017 Sep 13; 14(134):. PubMed ID: 28931636
    [Abstract] [Full Text] [Related]

  • 8. Identifiability of parameters in MCMC Bayesian inference of phylogeny.
    Rannala B.
    Syst Biol; 2002 Oct 13; 51(5):754-60. PubMed ID: 12396589
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  • 9. Bayesian calibration of process-based forest models: bridging the gap between models and data.
    Van Oijen M, Rougier J, Smith R.
    Tree Physiol; 2005 Jul 13; 25(7):915-27. PubMed ID: 15870058
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  • 10. Analysis of cellular kinetic models suggest that physiologically based model parameters may be inherently, practically unidentifiable.
    Brown LV, Coles MC, McConnell M, Ratushny AV, Gaffney EA.
    J Pharmacokinet Pharmacodyn; 2022 Oct 13; 49(5):539-556. PubMed ID: 35933452
    [Abstract] [Full Text] [Related]

  • 11. Bayesian Statistical Inference in Ion-Channel Models with Exact Missed Event Correction.
    Epstein M, Calderhead B, Girolami MA, Sivilotti LG.
    Biophys J; 2016 Jul 26; 111(2):333-348. PubMed ID: 27463136
    [Abstract] [Full Text] [Related]

  • 12. 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 26; 22(4):398-423. PubMed ID: 22642986
    [Abstract] [Full Text] [Related]

  • 13. Bayesian analysis of non-linear differential equation models with application to a gut microbial ecosystem.
    Lawson DJ, Holtrop G, Flint H.
    Biom J; 2011 Jul 26; 53(4):543-56. PubMed ID: 21681780
    [Abstract] [Full Text] [Related]

  • 14. Practical parameter identifiability for spatio-temporal models of cell invasion.
    Simpson MJ, Baker RE, Vittadello ST, Maclaren OJ.
    J R Soc Interface; 2020 Mar 26; 17(164):20200055. PubMed ID: 32126193
    [Abstract] [Full Text] [Related]

  • 15. Bayesian parameter inference and model selection by population annealing in systems biology.
    Murakami Y.
    PLoS One; 2014 Mar 26; 9(8):e104057. PubMed ID: 25089832
    [Abstract] [Full Text] [Related]

  • 16. Bayesian phylogenetic analysis of combined data.
    Nylander JA, Ronquist F, Huelsenbeck JP, Nieves-Aldrey JL.
    Syst Biol; 2004 Feb 26; 53(1):47-67. PubMed ID: 14965900
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  • 17. A simple introduction to Markov Chain Monte-Carlo sampling.
    van Ravenzwaaij D, Cassey P, Brown SD.
    Psychon Bull Rev; 2018 Feb 26; 25(1):143-154. PubMed ID: 26968853
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  • 18. Quantifying the uncertainty in model parameters using Gaussian process-based Markov chain Monte Carlo in cardiac electrophysiology.
    Dhamala J, Arevalo HJ, Sapp J, Horácek BM, Wu KC, Trayanova NA, Wang L.
    Med Image Anal; 2018 Aug 26; 48():43-57. PubMed ID: 29843078
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  • 19. Parameter estimation methods for chaotic intercellular networks.
    Mariño IP, Ullner E, Zaikin A.
    PLoS One; 2013 Aug 26; 8(11):e79892. PubMed ID: 24282513
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  • 20. Approximate Bayesian computation (ABC) gives exact results under the assumption of model error.
    Wilkinson RD.
    Stat Appl Genet Mol Biol; 2013 May 06; 12(2):129-41. PubMed ID: 23652634
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