Cargando…
ABrox—A user-friendly Python module for approximate Bayesian computation with a focus on model comparison
We give an overview of the basic principles of approximate Bayesian computation (ABC), a class of stochastic methods that enable flexible and likelihood-free model comparison and parameter estimation. Our new open-source software called ABrox is used to illustrate ABC for model comparison on two pro...
Autores principales: | Mertens, Ulf Kai, Voss, Andreas, Radev, Stefan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5843277/ https://www.ncbi.nlm.nih.gov/pubmed/29518130 http://dx.doi.org/10.1371/journal.pone.0193981 |
Ejemplares similares
-
Inferring population history with DIY ABC: a user-friendly approach to approximate Bayesian computation
por: Cornuet, Jean-Marie, et al.
Publicado: (2008) -
ABC-SysBio—approximate Bayesian computation in Python with GPU support
por: Liepe, Juliane, et al.
Publicado: (2010) -
Kernel-density estimation and approximate Bayesian computation for flexible epidemiological model fitting in Python
por: Irvine, Michael A., et al.
Publicado: (2018) -
User-friendly parallelization of GAUDI applications with Python
por: Mato, P, et al.
Publicado: (2010) -
Approximate Bayesian Computation
por: Sunnåker, Mikael, et al.
Publicado: (2013)