BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

193 related articles for article (PubMed ID: 28690370)

  • 1. Unbiased Bayesian inference for population Markov jump processes via random truncations.
    Georgoulas A; Hillston J; Sanguinetti G
    Stat Comput; 2017; 27(4):991-1002. PubMed ID: 28690370
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Bayesian parameter inference for stochastic biochemical network models using particle Markov chain Monte Carlo.
    Golightly A; Wilkinson DJ
    Interface Focus; 2011 Dec; 1(6):807-20. PubMed ID: 23226583
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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; 4():99. PubMed ID: 20663171
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Bayesian inference for continuous-time hidden Markov models with an unknown number of states.
    Luo Y; Stephens DA
    Stat Comput; 2021; 31(5):57. PubMed ID: 34776654
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Using model-based proposals for fast parameter inference on discrete state space, continuous-time Markov processes.
    Pooley CM; Bishop SC; Marion G
    J R Soc Interface; 2015 Jun; 12(107):. PubMed ID: 25994297
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A practical guide to pseudo-marginal methods for computational inference in systems biology.
    Warne DJ; Baker RE; Simpson MJ
    J Theor Biol; 2020 Jul; 496():110255. PubMed ID: 32223995
    [TBL] [Abstract][Full Text] [Related]  

  • 9. BAYESIAN INFERENCE OF STOCHASTIC REACTION NETWORKS USING MULTIFIDELITY SEQUENTIAL TEMPERED MARKOV CHAIN MONTE CARLO.
    Catanach TA; Vo HD; Munsky B
    Int J Uncertain Quantif; 2020; 10(6):515-542. PubMed ID: 34007522
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Data augmentation for models based on rejection sampling.
    Rao V; Lin L; Dunson DB
    Biometrika; 2016 Jun; 103(2):319-335. PubMed ID: 27279660
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Scalable Bayesian Inference for Coupled Hidden Markov and Semi-Markov Models.
    Touloupou P; Finkenstädt B; Spencer SEF
    J Comput Graph Stat; 2020; 29(2):238-249. PubMed ID: 32939192
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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; 12(8):e0182015. PubMed ID: 28797087
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Alive SMC(2) : Bayesian model selection for low-count time series models with intractable likelihoods.
    Drovandi CC; McCutchan RA
    Biometrics; 2016 Jun; 72(2):344-53. PubMed ID: 26584211
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Posterior-based proposals for speeding up Markov chain Monte Carlo.
    Pooley CM; Bishop SC; Doeschl-Wilson A; Marion G
    R Soc Open Sci; 2019 Nov; 6(11):190619. PubMed ID: 31827823
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Comparison of Parameter Estimation Methods in Stochastic Chemical Kinetic Models: Examples in Systems Biology.
    Gupta A; Rawlings JB
    AIChE J; 2014 Apr; 60(4):1253-1268. PubMed ID: 27429455
    [TBL] [Abstract][Full Text] [Related]  

  • 17. High-dimensional Bayesian parameter estimation: case study for a model of JAK2/STAT5 signaling.
    Hug S; Raue A; Hasenauer J; Bachmann J; Klingmüller U; Timmer J; Theis FJ
    Math Biosci; 2013 Dec; 246(2):293-304. PubMed ID: 23602931
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Pseudo-Marginal Bayesian Inference for Gaussian Processes.
    Filippone M; Girolami M
    IEEE Trans Pattern Anal Mach Intell; 2014 Nov; 36(11):2214-26. PubMed ID: 26353062
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Exact Variance-Reduced Simulation of Lattice Continuous-Time Markov Chains with Applications in Reaction Networks.
    Maginnis PA; West M; Dullerud GE
    Bull Math Biol; 2019 Aug; 81(8):3159-3184. PubMed ID: 30761456
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Parameter Expanded Algorithms for Bayesian Latent Variable Modeling of Genetic Pleiotropy Data.
    Xu L; Craiu RV; Sun L; Paterson AD
    J Comput Graph Stat; 2016; 25(2):405-425. PubMed ID: 27752219
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.