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.
5. Accelerated regression-based summary statistics for discrete stochastic systems via approximate simulators. Jiang RM; Wrede F; Singh P; Hellander A; Petzold LR BMC Bioinformatics; 2021 Jun; 22(1):339. PubMed ID: 34162329 [TBL] [Abstract][Full Text] [Related]
6. Approximate Bayesian computation schemes for parameter inference of discrete stochastic models using simulated likelihood density. Wu Q; Smith-Miles K; Tian T BMC Bioinformatics; 2014; 15 Suppl 12(Suppl 12):S3. PubMed ID: 25473744 [TBL] [Abstract][Full Text] [Related]
7. Bayesian experimental design for models with intractable likelihoods. Drovandi CC; Pettitt AN Biometrics; 2013 Dec; 69(4):937-48. PubMed ID: 24131221 [TBL] [Abstract][Full Text] [Related]
8. Choice of summary statistic weights in approximate Bayesian computation. Jung H; Marjoram P Stat Appl Genet Mol Biol; 2011 Sep; 10(1):. PubMed ID: 23089822 [TBL] [Abstract][Full Text] [Related]
9. A tutorial introduction to Bayesian inference for stochastic epidemic models using Approximate Bayesian Computation. Kypraios T; Neal P; Prangle D Math Biosci; 2017 May; 287():42-53. PubMed ID: 27444577 [TBL] [Abstract][Full Text] [Related]
10. ABC: a useful Bayesian tool for the analysis of population data. Lopes JS; Beaumont MA Infect Genet Evol; 2010 Aug; 10(6):826-33. PubMed ID: 19879976 [TBL] [Abstract][Full Text] [Related]
11. Approximate Bayesian computation (ABC) gives exact results under the assumption of model error. Wilkinson RD Stat Appl Genet Mol Biol; 2013 May; 12(2):129-41. PubMed ID: 23652634 [TBL] [Abstract][Full Text] [Related]
12. Bayesian computation and model selection without likelihoods. Leuenberger C; Wegmann D Genetics; 2010 Jan; 184(1):243-52. PubMed ID: 19786619 [TBL] [Abstract][Full Text] [Related]
13. AABC: approximate approximate Bayesian computation for inference in population-genetic models. Buzbas EO; Rosenberg NA Theor Popul Biol; 2015 Feb; 99():31-42. PubMed ID: 25261426 [TBL] [Abstract][Full Text] [Related]
14. Approximate Bayesian computation in population genetics. Beaumont MA; Zhang W; Balding DJ Genetics; 2002 Dec; 162(4):2025-35. PubMed ID: 12524368 [TBL] [Abstract][Full Text] [Related]
15. Selecting summary statistics in approximate Bayesian computation for calibrating stochastic models. Burr T; Skurikhin A Biomed Res Int; 2013; 2013():210646. PubMed ID: 24288668 [TBL] [Abstract][Full Text] [Related]
16. Bayesian estimation of survival functions under stochastic precedence. Chen Z; Dunson DB Lifetime Data Anal; 2004 Jun; 10(2):159-73. PubMed ID: 15293630 [TBL] [Abstract][Full Text] [Related]
17. An approximate Bayesian computation approach to parameter estimation in a stochastic stage-structured population model. Scranton K; Knape J; de Valpine P Ecology; 2014 May; 95(5):1418-28. PubMed ID: 25000772 [TBL] [Abstract][Full Text] [Related]
18. Approximate Bayesian computation. Sunnåker M; Busetto AG; Numminen E; Corander J; Foll M; Dessimoz C PLoS Comput Biol; 2013; 9(1):e1002803. PubMed ID: 23341757 [TBL] [Abstract][Full Text] [Related]
19. ABCtoolbox: a versatile toolkit for approximate Bayesian computations. Wegmann D; Leuenberger C; Neuenschwander S; Excoffier L BMC Bioinformatics; 2010 Mar; 11():116. PubMed ID: 20202215 [TBL] [Abstract][Full Text] [Related]
20. Inferring Rates and Length-Distributions of Indels Using Approximate Bayesian Computation. Levy Karin E; Shkedy D; Ashkenazy H; Cartwright RA; Pupko T Genome Biol Evol; 2017 May; 9(5):1280-1294. PubMed ID: 28453624 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]