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 *

157 related articles for article (PubMed ID: 9636138)

  • 1. A stochastic approximation algorithm with Markov chain Monte-carlo method for incomplete data estimation problems.
    Gu MG; Kong FH
    Proc Natl Acad Sci U S A; 1998 Jun; 95(13):7270-4. PubMed ID: 9636138
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Stochastic approximation boosting for incomplete data problems.
    Sexton J; Laake P
    Biometrics; 2009 Dec; 65(4):1156-63. PubMed ID: 19432768
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Maximum-likelihood parameter estimation for unsupervised stochastic model-based image segmentation.
    Zhang J; Modestino JW; Langan DA
    IEEE Trans Image Process; 1994; 3(4):404-20. PubMed ID: 18291939
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A baseline-free procedure for transformation models under interval censorship.
    Gu MG; Sun L; Zuo G
    Lifetime Data Anal; 2005 Dec; 11(4):473-88. PubMed ID: 16328572
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Folding small proteins via annealing stochastic approximation Monte Carlo.
    Cheon S; Liang F
    Biosystems; 2011 Sep; 105(3):243-9. PubMed ID: 21679746
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Estimating rare events in biochemical systems using conditional sampling.
    Sundar VS
    J Chem Phys; 2017 Jan; 146(4):044117. PubMed ID: 28147534
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Stochastic Expectation Maximization Algorithm for Linear Mixed-Effects Model with Interactions in the Presence of Incomplete Data.
    Zakkour A; Perret C; Slaoui Y
    Entropy (Basel); 2023 Mar; 25(3):. PubMed ID: 36981361
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Performance comparison of first-order conditional estimation with interaction and Bayesian estimation methods for estimating the population parameters and its distribution from data sets with a low number of subjects.
    Pradhan S; Song B; Lee J; Chae JW; Kim KI; Back HM; Han N; Kwon KI; Yun HY
    BMC Med Res Methodol; 2017 Dec; 17(1):154. PubMed ID: 29191177
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Monte Carlo Metropolis-Hastings algorithm for sampling from distributions with intractable normalizing constants.
    Liang F; Jin IH
    Neural Comput; 2013 Aug; 25(8):2199-234. PubMed ID: 23607562
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Bayesian phylogeny analysis via stochastic approximation Monte Carlo.
    Cheon S; Liang F
    Mol Phylogenet Evol; 2009 Nov; 53(2):394-403. PubMed ID: 19589389
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Maximum likelihood analysis of a general latent variable model with hierarchically mixed data.
    Lee SY; Song XY
    Biometrics; 2004 Sep; 60(3):624-36. PubMed ID: 15339284
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Markov chain Monte Carlo without likelihoods.
    Marjoram P; Molitor J; Plagnol V; Tavare S
    Proc Natl Acad Sci U S A; 2003 Dec; 100(26):15324-8. PubMed ID: 14663152
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Reducing Monte Carlo error in the Bayesian estimation of risk ratios using log-binomial regression models.
    Salmerón D; Cano JA; Chirlaque MD
    Stat Med; 2015 Aug; 34(19):2755-67. PubMed ID: 25944082
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Input estimation for drug discovery using optimal control and Markov chain Monte Carlo approaches.
    Trägårdh M; Chappell MJ; Ahnmark A; Lindén D; Evans ND; Gennemark P
    J Pharmacokinet Pharmacodyn; 2016 Apr; 43(2):207-21. PubMed ID: 26932466
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Monte Carlo methods for light propagation in biological tissues.
    Vinckenbosch L; Lacaux C; Tindel S; Thomassin M; Obara T
    Math Biosci; 2015 Nov; 269():48-60. PubMed ID: 26362232
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Estimation for Entropy and Parameters of Generalized Bilal Distribution under Adaptive Type II Progressive Hybrid Censoring Scheme.
    Shi X; Shi Y; Zhou K
    Entropy (Basel); 2021 Feb; 23(2):. PubMed ID: 33567638
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Estimating the granularity coefficient of a Potts-Markov random field within a Markov chain Monte Carlo algorithm.
    Pereyra M; Dobigeon N; Batatia H; Tourneret JY
    IEEE Trans Image Process; 2013 Jun; 22(6):2385-97. PubMed ID: 23475357
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identification of the glucose minimal model by stochastic nonlinear-mixed effects methods.
    Largajolli A; Bertoldo A; Cobelli C
    Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():5482-5. PubMed ID: 23367170
    [TBL] [Abstract][Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 8.