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.
4. Towards quantitative uncertainty assessment for cancer risks: central estimates and probability distributions of risk in dose-response modeling. Kopylev L; Chen C; White P Regul Toxicol Pharmacol; 2007 Dec; 49(3):203-7. PubMed ID: 17905499 [TBL] [Abstract][Full Text] [Related]
5. Neural network models for conditional distribution under bayesian analysis. Miazhynskaia T; Frühwirth-Schnatter S; Dorffner G Neural Comput; 2008 Feb; 20(2):504-22. PubMed ID: 18045023 [TBL] [Abstract][Full Text] [Related]
6. Calibrating and validating bacterial water quality models: a Bayesian approach. Gronewold AD; Qian SS; Wolpert RL; Reckhow KH Water Res; 2009 Jun; 43(10):2688-98. PubMed ID: 19395060 [TBL] [Abstract][Full Text] [Related]
7. Bayesian neural networks for bivariate binary data: an application to prostate cancer study. Chakraborty S; Ghosh M; Maiti T; Tewari A Stat Med; 2005 Dec; 24(23):3645-62. PubMed ID: 16138362 [TBL] [Abstract][Full Text] [Related]
8. Improving Cox survival analysis with a neural-Bayesian approach. Bakker B; Heskes T; Neijt J; Kappen B Stat Med; 2004 Oct; 23(19):2989-3012. PubMed ID: 15351957 [TBL] [Abstract][Full Text] [Related]
9. Hierarchical Bayesian sparse image reconstruction with application to MRFM. Dobigeon N; Hero AO; Tourneret JY IEEE Trans Image Process; 2009 Sep; 18(9):2059-70. PubMed ID: 19493849 [TBL] [Abstract][Full Text] [Related]
10. Approximate cross-validatory predictive checks in disease mapping models. Marshall EC; Spiegelhalter DJ Stat Med; 2003 May; 22(10):1649-60. PubMed ID: 12720302 [TBL] [Abstract][Full Text] [Related]
11. Bayesian neural network approaches to ovarian cancer identification from high-resolution mass spectrometry data. Yu J; Chen XW Bioinformatics; 2005 Jun; 21 Suppl 1():i487-94. PubMed ID: 15961495 [TBL] [Abstract][Full Text] [Related]
12. Bayesian analysis of latent variable models with non-ignorable missing outcomes from exponential family. Song XY; Lee SY Stat Med; 2007 Feb; 26(3):681-93. PubMed ID: 16538704 [TBL] [Abstract][Full Text] [Related]
13. A Monte Carlo method for calculating Bayesian uncertainties in internal dosimetry. Puncher M; Birchall A Radiat Prot Dosimetry; 2008; 132(1):1-12. PubMed ID: 18806256 [TBL] [Abstract][Full Text] [Related]
14. Hierarchical Bayesian estimates of distributed MEG sources: theoretical aspects and comparison of variational and MCMC methods. Nummenmaa A; Auranen T; Hämäläinen MS; Jääskeläinen IP; Lampinen J; Sams M; Vehtari A Neuroimage; 2007 Apr; 35(2):669-85. PubMed ID: 17300961 [TBL] [Abstract][Full Text] [Related]
15. Bayesian approach for quantifying the uncertainty of neutron doses derived from spectrometric measurements. Reginatto M Radiat Prot Dosimetry; 2006; 121(1):64-9. PubMed ID: 16877470 [TBL] [Abstract][Full Text] [Related]
16. Bayesian analysis of physiologically based toxicokinetic and toxicodynamic models. Hack CE Toxicology; 2006 Apr; 221(2-3):241-8. PubMed ID: 16466842 [TBL] [Abstract][Full Text] [Related]
17. Bayesian model averaging in EEG/MEG imaging. Trujillo-Barreto NJ; Aubert-Vázquez E; Valdés-Sosa PA Neuroimage; 2004 Apr; 21(4):1300-19. PubMed ID: 15050557 [TBL] [Abstract][Full Text] [Related]
18. Uncertainty distribution associated with estimating a proportion in microbial risk assessment. Miconnet N; Cornu M; Beaufort A; Rosso L; Denis JB Risk Anal; 2005 Feb; 25(1):39-48. PubMed ID: 15787755 [TBL] [Abstract][Full Text] [Related]
19. Latent-space variational bayes. Sung J; Ghahramani Z; Bang SY IEEE Trans Pattern Anal Mach Intell; 2008 Dec; 30(12):2236-42. PubMed ID: 18988955 [TBL] [Abstract][Full Text] [Related]
20. Bayesian population decoding of motor cortical activity using a Kalman filter. Wu W; Gao Y; Bienenstock E; Donoghue JP; Black MJ Neural Comput; 2006 Jan; 18(1):80-118. PubMed ID: 16354382 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]