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Items: 1 to 20 of 145

1.

Simulation-based model selection for dynamical systems in systems and population biology.

Toni T, Stumpf MP.

Bioinformatics. 2010 Jan 1;26(1):104-10. doi: 10.1093/bioinformatics/btp619. Epub 2009 Oct 29.

2.

Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems.

Toni T, Welch D, Strelkowa N, Ipsen A, Stumpf MP.

J R Soc Interface. 2009 Feb 6;6(31):187-202.

3.

Macromolecular crowding: chemistry and physics meet biology (Ascona, Switzerland, 10-14 June 2012).

Foffi G, Pastore A, Piazza F, Temussi PA.

Phys Biol. 2013 Aug 2;10(4):040301. [Epub ahead of print]

PMID:
23912807
4.

Bayesian parameter inference and model selection by population annealing in systems biology.

Murakami Y.

PLoS One. 2014 Aug 4;9(8):e104057. doi: 10.1371/journal.pone.0104057. eCollection 2014.

5.

Bayesian experimental design for models with intractable likelihoods.

Drovandi CC, Pettitt AN.

Biometrics. 2013 Dec;69(4):937-48. doi: 10.1111/biom.12081. Epub 2013 Oct 16.

PMID:
24131221
6.
7.

Optimizing threshold-schedules for sequential approximate Bayesian computation: applications to molecular systems.

Silk D, Filippi S, Stumpf MP.

Stat Appl Genet Mol Biol. 2013 Oct 1;12(5):603-18. doi: 10.1515/sagmb-2012-0043.

PMID:
24025688
8.

AABC: approximate approximate Bayesian computation for inference in population-genetic models.

Buzbas EO, Rosenberg NA.

Theor Popul Biol. 2015 Feb;99:31-42. doi: 10.1016/j.tpb.2014.09.002. Epub 2014 Sep 26.

9.

From qualitative data to quantitative models: analysis of the phage shock protein stress response in Escherichia coli.

Toni T, Jovanovic G, Huvet M, Buck M, Stumpf MP.

BMC Syst Biol. 2011 May 12;5:69. doi: 10.1186/1752-0509-5-69.

10.

BioBayes: a software package for Bayesian inference in systems biology.

Vyshemirsky V, Girolami M.

Bioinformatics. 2008 Sep 1;24(17):1933-4. doi: 10.1093/bioinformatics/btn338. Epub 2008 Jul 16.

11.

Practical limits for reverse engineering of dynamical systems: a statistical analysis of sensitivity and parameter inferability in systems biology models.

Erguler K, Stumpf MP.

Mol Biosyst. 2011 May;7(5):1593-602. doi: 10.1039/c0mb00107d. Epub 2011 Mar 4.

PMID:
21380410
12.

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.

PMID:
16584284
13.

Bayesian analysis of crossclassified spatial data with autocorrelation.

Sun L, Clayton MK.

Biometrics. 2008 Mar;64(1):74-84. Epub 2007 Aug 3.

PMID:
17680834
14.

Sequential Monte Carlo without likelihoods.

Sisson SA, Fan Y, Tanaka MM.

Proc Natl Acad Sci U S A. 2007 Feb 6;104(6):1760-5. Epub 2007 Jan 30. Erratum in: Proc Natl Acad Sci U S A. 2009 Sep 29;106(39):16889.

15.

A bayesian approach to the multistate Jolly-Seber capture-recapture model.

Dupuis JA, Schwarz CJ.

Biometrics. 2007 Dec;63(4):1015-22. Epub 2007 May 14.

PMID:
17501941
16.

Models for bounded systems with continuous dynamics.

Cangelosi AR, Hooten MB.

Biometrics. 2009 Sep;65(3):850-6. doi: 10.1111/j.1541-0420.2008.01130.x. Epub 2009 Feb 5.

PMID:
19210728
17.

Species delimitation using genome-wide SNP data.

Leaché AD, Fujita MK, Minin VN, Bouckaert RR.

Syst Biol. 2014 Jul;63(4):534-42. doi: 10.1093/sysbio/syu018. Epub 2014 Mar 12.

18.

Structure learning for Bayesian networks as models of biological networks.

Larjo A, Shmulevich I, Lähdesmäki H.

Methods Mol Biol. 2013;939:35-45. doi: 10.1007/978-1-62703-107-3_4.

PMID:
23192539
19.

Statistical inference for stochastic simulation models--theory and application.

Hartig F, Calabrese JM, Reineking B, Wiegand T, Huth A.

Ecol Lett. 2011 Aug;14(8):816-27. doi: 10.1111/j.1461-0248.2011.01640.x. Epub 2011 Jun 17. Review.

PMID:
21679289
20.

Hamiltonian Monte Carlo methods for efficient parameter estimation in steady state dynamical systems.

Kramer A, Calderhead B, Radde N.

BMC Bioinformatics. 2014 Jul 28;15:253. doi: 10.1186/1471-2105-15-253.

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