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...

Descripción completa

Detalles Bibliográficos
Autores principales: Ballnus, Benjamin, Hug, Sabine, Hatz, Kathrin, Görlitz, Linus, Hasenauer, Jan, Theis, Fabian J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research Article
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

Internet

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

Ejemplares similares