PyDREAM: high-dimensional parameter inference for biological models in python

SUMMARY: Biological models contain many parameters whose values are difficult to measure directly via experimentation and therefore require calibration against experimental data. Markov chain Monte Carlo (MCMC) methods are suitable to estimate multivariate posterior model parameter distributions, bu...

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Detalles Bibliográficos
Autores principales: Shockley, Erin M, Vrugt, Jasper A, Lopez, Carlos F
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860607/
https://www.ncbi.nlm.nih.gov/pubmed/29028896
http://dx.doi.org/10.1093/bioinformatics/btx626

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860607/
https://www.ncbi.nlm.nih.gov/pubmed/29028896
http://dx.doi.org/10.1093/bioinformatics/btx626

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