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 *

260 related articles for article (PubMed ID: 27085426)

  • 21. State and Parameter Estimation from Observed Signal Increments.
    Nüsken N; Reich S; Rozdeba PJ
    Entropy (Basel); 2019 May; 21(5):. PubMed ID: 33267219
    [TBL] [Abstract][Full Text] [Related]  

  • 22. A Rao-Blackwellized particle filter for joint parameter estimation and biomass tracking in a stochastic predator-prey system.
    Martín-Fernández L; Gilioli G; Lanzarone E; Miguez J; Pasquali S; Ruggeri F; Ruiz DP
    Math Biosci Eng; 2014 Jun; 11(3):573-97. PubMed ID: 24506552
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Comparison of the performance of particle filter algorithms applied to tracking of a disease epidemic.
    Sheinson DM; Niemi J; Meiring W
    Math Biosci; 2014 Sep; 255():21-32. PubMed ID: 25016201
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Penalized ensemble Kalman filters for high dimensional non-linear systems.
    Hou E; Lawrence E; Hero AO
    PLoS One; 2021; 16(3):e0248046. PubMed ID: 33735201
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Moment estimation for chemically reacting systems by extended Kalman filtering.
    Ruess J; Milias-Argeitis A; Summers S; Lygeros J
    J Chem Phys; 2011 Oct; 135(16):165102. PubMed ID: 22047267
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Set-Membership Based Hybrid Kalman Filter for Nonlinear State Estimation under Systematic Uncertainty.
    Zhao Y; Zhang J; Hu G; Zhong Y
    Sensors (Basel); 2020 Jan; 20(3):. PubMed ID: 31979194
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Double-Layer Cubature Kalman Filter for Nonlinear Estimation.
    Yang F; Luo Y; Zheng L
    Sensors (Basel); 2019 Feb; 19(5):. PubMed ID: 30813521
    [TBL] [Abstract][Full Text] [Related]  

  • 28. A hybrid particle-ensemble Kalman filter for problems with medium nonlinearity.
    Grooms I; Robinson G
    PLoS One; 2021; 16(3):e0248266. PubMed ID: 33705463
    [TBL] [Abstract][Full Text] [Related]  

  • 29. 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]  

  • 30. Fast Bayesian parameter estimation for stochastic logistic growth models.
    Heydari J; Lawless C; Lydall DA; Wilkinson DJ
    Biosystems; 2014 Aug; 122():55-72. PubMed ID: 24906175
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Parameter estimation of biological phenomena: an unscented Kalman filter approach.
    Meskin N; Nounou H; Nounou M; Datta A
    IEEE/ACM Trans Comput Biol Bioinform; 2013; 10(2):537-43. PubMed ID: 23929876
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Optimization based data enrichment using stochastic dynamical system models.
    Kearney GM; Fardad M
    PLoS One; 2024; 19(9):e0310504. PubMed ID: 39302954
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Nonlinear Kalman filter based on duality relations between continuous and discrete-state stochastic processes.
    Ohkubo J
    Phys Rev E Stat Nonlin Soft Matter Phys; 2015 Oct; 92(4):043302. PubMed ID: 26565359
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Deterministic analysis of extrinsic and intrinsic noise in an epidemiological model.
    Bayati BS
    Phys Rev E; 2016 May; 93(5):052124. PubMed ID: 27300847
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Path ensembles and path sampling in nonequilibrium stochastic systems.
    Harland B; Sun SX
    J Chem Phys; 2007 Sep; 127(10):104103. PubMed ID: 17867733
    [TBL] [Abstract][Full Text] [Related]  

  • 36. A combined method to estimate parameters of neuron from a heavily noise-corrupted time series of active potential.
    Deng B; Wang J; Che Y
    Chaos; 2009 Mar; 19(1):015105. PubMed ID: 19335009
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Estimation of noise parameters in dynamical system identification with Kalman filters.
    Kwasniok F
    Phys Rev E Stat Nonlin Soft Matter Phys; 2012 Sep; 86(3 Pt 2):036214. PubMed ID: 23031004
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Estimation of nonstationary EEG with Kalman smoother approach: an application to event-related synchronization (ERS).
    Tarvainen MP; Hiltunen JK; Ranta-aho PO; Karjalainen PA
    IEEE Trans Biomed Eng; 2004 Mar; 51(3):516-24. PubMed ID: 15000382
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Phase-step estimation in interferometry via an unscented Kalman filter.
    Zander TE; Madyastha V; Patil A; Rastogi P; Reindl LM
    Opt Lett; 2009 May; 34(9):1396-8. PubMed ID: 19412284
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Collocation-based sparse estimation for constructing dynamic gene networks.
    Shimamura T; Imoto S; Nagasaki M; Yamauchi M; Yamaguchi R; Fujita A; Tamada Y; Gotoh N; Miyano S
    Genome Inform; 2010; 24():164-78. PubMed ID: 22081598
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 13.