POPE: post optimization posterior evaluation of likelihood free models

BACKGROUND: In many domains, scientists build complex simulators of natural phenomena that encode their hypotheses about the underlying processes. These simulators can be deterministic or stochastic, fast or slow, constrained or unconstrained, and so on. Optimizing the simulators with respect to a s...

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Detalles Bibliográficos
Autores principales: Meeds, Edward, Chiang, Michael, Lee, Mary, Cinquin, Olivier, Lowengrub, John, Welling, Max
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4545973/
https://www.ncbi.nlm.nih.gov/pubmed/26289041
http://dx.doi.org/10.1186/s12859-015-0658-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4545973/
https://www.ncbi.nlm.nih.gov/pubmed/26289041
http://dx.doi.org/10.1186/s12859-015-0658-1

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