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 *

136 related articles for article (PubMed ID: 31695242)

  • 1. Neural network gradient Hamiltonian Monte Carlo.
    Li L; Holbrook A; Shahbaba B; Baldi P
    Comput Stat; 2019 Mar; 34(1):281-299. PubMed ID: 31695242
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Variational Hybrid Monte Carlo for Efficient Multi-Modal Data Sampling.
    Sun S; Zhao J; Gu M; Wang S
    Entropy (Basel); 2023 Mar; 25(4):. PubMed ID: 37190347
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Variational Hamiltonian Monte Carlo via Score Matching.
    Zhang C; Shahbaba B; Zhao H
    Bayesian Anal; 2018 Jun; 13(2):485-506. PubMed ID: 37151569
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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; 61(1):75-95. PubMed ID: 36322242
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Inference of regulatory networks with a convergence improved MCMC sampler.
    Agostinho NB; Machado KS; Werhli AV
    BMC Bioinformatics; 2015 Sep; 16():306. PubMed ID: 26399857
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Adversarially Training MCMC with Non-Volume-Preserving Flows.
    Liu S; Sun S
    Entropy (Basel); 2022 Mar; 24(3):. PubMed ID: 35327925
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Bayesian adaptation of chaos representations using variational inference and sampling on geodesics.
    Tsilifis P; Ghanem RG
    Proc Math Phys Eng Sci; 2018 Sep; 474(2217):20180285. PubMed ID: 30333707
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Parametric and nonparametric population methods: their comparative performance in analysing a clinical dataset and two Monte Carlo simulation studies.
    Bustad A; Terziivanov D; Leary R; Port R; Schumitzky A; Jelliffe R
    Clin Pharmacokinet; 2006; 45(4):365-83. PubMed ID: 16584284
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Hamiltonian Monte Carlo acceleration using surrogate functions with random bases.
    Zhang C; Shahbaba B; Zhao H
    Stat Comput; 2017 Nov; 27(6):1473-1490. PubMed ID: 28983154
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Parameter estimation for X-ray scattering analysis with Hamiltonian Markov Chain Monte Carlo.
    Jiang Z; Wang J; Tirrell MV; de Pablo JJ; Chen W
    J Synchrotron Radiat; 2022 May; 29(Pt 3):721-731. PubMed ID: 35511005
    [TBL] [Abstract][Full Text] [Related]  

  • 11. An efficient interpolation technique for jump proposals in reversible-jump Markov chain Monte Carlo calculations.
    Farr WM; Mandel I; Stevens D
    R Soc Open Sci; 2015 Jun; 2(6):150030. PubMed ID: 26543580
    [TBL] [Abstract][Full Text] [Related]  

  • 12. de Finetti Priors using Markov chain Monte Carlo computations.
    Bacallado S; Diaconis P; Holmes S
    Stat Comput; 2015 Jul; 25(4):797-808. PubMed ID: 26412947
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Bayesian Inference for Mixed Gaussian GARCH-Type Model by Hamiltonian Monte Carlo Algorithm.
    Liang R; Qin B; Xia Q
    Comput Econ; 2022 Nov; ():1-28. PubMed ID: 36467873
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Stochastic gradient Langevin dynamics with adaptive drifts.
    Kim S; Song Q; Liang F
    J Stat Comput Simul; 2022; 92(2):318-336. PubMed ID: 35559269
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Hamiltonian Monte Carlo Inversion of Seismic Sources in Complex Media.
    Fichtner A; Simutė S
    J Geophys Res Solid Earth; 2018 Apr; 123(4):2984-2999. PubMed ID: 30034980
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Marginal Bayesian Posterior Inference using Recurrent Neural Networks with Application to Sequential Models.
    Fisher T; Luedtke A; Carone M; Simon N
    Stat Sin; 2023 May; 33(SI):1507-1532. PubMed ID: 37409184
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Bayesian Trend Filtering via Proximal Markov Chain Monte Carlo.
    Heng Q; Zhou H; Chi EC
    J Comput Graph Stat; 2023; 32(3):938-949. PubMed ID: 37822489
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Learning Deep Generative Models With Doubly Stochastic Gradient MCMC.
    Du C; Zhu J; Zhang B
    IEEE Trans Neural Netw Learn Syst; 2018 Jul; 29(7):3084-3096. PubMed ID: 28678716
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Unsupervised post-nonlinear unmixing of hyperspectral images using a Hamiltonian Monte Carlo algorithm.
    Altmann Y; Dobigeon N; Tourneret JY
    IEEE Trans Image Process; 2014 Jun; 23(6):2663-2675. PubMed ID: 24686282
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.