Cargando…
One size does not fit all: Customizing MCMC methods for hierarchical models using NIMBLE
Improved efficiency of Markov chain Monte Carlo facilitates all aspects of statistical analysis with Bayesian hierarchical models. Identifying strategies to improve MCMC performance is becoming increasingly crucial as the complexity of models, and the run times to fit them, increases. We evaluate di...
Autores principales: | Ponisio, Lauren C., de Valpine, Perry, Michaud, Nicholas, Turek, Daniel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7069319/ https://www.ncbi.nlm.nih.gov/pubmed/32184989 http://dx.doi.org/10.1002/ece3.6053 |
Ejemplares similares
-
Treatment of VPI with Customized Pharyngeal Flaps: One Size Does Not Fit All
por: Boudiab, Elizabeth M., et al.
Publicado: (2022) -
One size does not fit all
por: Tautz, Diethard
Publicado: (2014) -
Microbiota be nimble
por: Kozyrskyj, Anita L., et al.
Publicado: (2018) -
One-size MAP does not fit all
por: Senussi, Mourad H
Publicado: (2015) -
Commentary: One size does not fit all
por: Jethani, Jitendra
Publicado: (2018)