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Comprehensive benchmarking of Markov chain Monte Carlo methods for dynamical systems
BACKGROUND: In quantitative biology, mathematical models are used to describe and analyze biological processes. The parameters of these models are usually unknown and need to be estimated from experimental data using statistical methods. In particular, Markov chain Monte Carlo (MCMC) methods have be...
Autores principales: | Ballnus, Benjamin, Hug, Sabine, Hatz, Kathrin, Görlitz, Linus, Hasenauer, Jan, Theis, Fabian J. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5482939/ https://www.ncbi.nlm.nih.gov/pubmed/28646868 http://dx.doi.org/10.1186/s12918-017-0433-1 |
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