164 related articles for article (PubMed ID: 23502346)
21. An Annealed Sequential Monte Carlo Method for Bayesian Phylogenetics.
Wang L; Wang S; Bouchard-Côté A
Syst Biol; 2020 Jan; 69(1):155-183. PubMed ID: 31173141
[TBL] [Abstract][Full Text] [Related]
22. Parametric and nonparametric population methods: their comparative performance in analysing a clinical dataset and two Monte Carlo simulation studies.
Bustad A; Terziivanov D; Leary R; Port R; Schumitzky A; Jelliffe R
Clin Pharmacokinet; 2006; 45(4):365-83. PubMed ID: 16584284
[TBL] [Abstract][Full Text] [Related]
23. Approximate Bayesian inference for discretely observed continuous-time multi-state models.
Tancredi A
Biometrics; 2019 Sep; 75(3):966-977. PubMed ID: 30648730
[TBL] [Abstract][Full Text] [Related]
24. 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]
25. A framework for parameter estimation and model selection from experimental data in systems biology using approximate Bayesian computation.
Liepe J; Kirk P; Filippi S; Toni T; Barnes CP; Stumpf MP
Nat Protoc; 2014 Feb; 9(2):439-56. PubMed ID: 24457334
[TBL] [Abstract][Full Text] [Related]
26. Bayesian inference for dynamic transcriptional regulation; the Hes1 system as a case study.
Heron EA; Finkenstädt B; Rand DA
Bioinformatics; 2007 Oct; 23(19):2596-603. PubMed ID: 17660527
[TBL] [Abstract][Full Text] [Related]
27. Kernel approximate Bayesian computation in population genetic inferences.
Nakagome S; Fukumizu K; Mano S
Stat Appl Genet Mol Biol; 2013 Dec; 12(6):667-78. PubMed ID: 24150124
[TBL] [Abstract][Full Text] [Related]
28. Approximate Bayesian computation for spatial SEIR(S) epidemic models.
Brown GD; Porter AT; Oleson JJ; Hinman JA
Spat Spatiotemporal Epidemiol; 2018 Feb; 24():27-37. PubMed ID: 29413712
[TBL] [Abstract][Full Text] [Related]
29. 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]
30. Computational methods for a class of network models.
Wang J; Jasra A; De Iorio M
J Comput Biol; 2014 Feb; 21(2):141-61. PubMed ID: 24144112
[TBL] [Abstract][Full Text] [Related]
31. Efficient approximate Bayesian computation coupled with Markov chain Monte Carlo without likelihood.
Wegmann D; Leuenberger C; Excoffier L
Genetics; 2009 Aug; 182(4):1207-18. PubMed ID: 19506307
[TBL] [Abstract][Full Text] [Related]
32. Bayesian estimation of scaled mutation rate under the coalescent: a sequential Monte Carlo approach.
Ogundijo OE; Wang X
BMC Bioinformatics; 2017 Dec; 18(1):541. PubMed ID: 29216822
[TBL] [Abstract][Full Text] [Related]
33. 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]
34. ABC random forests for Bayesian parameter inference.
Raynal L; Marin JM; Pudlo P; Ribatet M; Robert CP; Estoup A
Bioinformatics; 2019 May; 35(10):1720-1728. PubMed ID: 30321307
[TBL] [Abstract][Full Text] [Related]
35. HIV with contact tracing: a case study in approximate Bayesian computation.
Blum MG; Tran VC
Biostatistics; 2010 Oct; 11(4):644-60. PubMed ID: 20457785
[TBL] [Abstract][Full Text] [Related]
36. 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]
37. 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]
38. Lack of confidence in approximate Bayesian computation model choice.
Robert CP; Cornuet JM; Marin JM; Pillai NS
Proc Natl Acad Sci U S A; 2011 Sep; 108(37):15112-7. PubMed ID: 21876135
[TBL] [Abstract][Full Text] [Related]
39. Approximating multivariate posterior distribution functions from Monte Carlo samples for sequential Bayesian inference.
Thijssen B; Wessels LFA
PLoS One; 2020; 15(3):e0230101. PubMed ID: 32168343
[TBL] [Abstract][Full Text] [Related]
40. Bifurcation analysis informs Bayesian inference in the Hes1 feedback loop.
Higham CF
BMC Syst Biol; 2009 Jan; 3():12. PubMed ID: 19171037
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]