A tutorial on bridge sampling

The marginal likelihood plays an important role in many areas of Bayesian statistics such as parameter estimation, model comparison, and model averaging. In most applications, however, the marginal likelihood is not analytically tractable and must be approximated using numerical methods. Here we pro...

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Detalles Bibliográficos
Autores principales: Gronau, Quentin F., Sarafoglou, Alexandra, Matzke, Dora, Ly, Alexander, Boehm, Udo, Marsman, Maarten, Leslie, David S., Forster, Jonathan J., Wagenmakers, Eric-Jan, Steingroever, Helen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academic Press 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5699790/
https://www.ncbi.nlm.nih.gov/pubmed/29200501
http://dx.doi.org/10.1016/j.jmp.2017.09.005

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5699790/
https://www.ncbi.nlm.nih.gov/pubmed/29200501
http://dx.doi.org/10.1016/j.jmp.2017.09.005

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