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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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Dades bibliogràfiques
Publicat a:J Math Psychol
Autors principals: Gronau, Quentin F., Sarafoglou, Alexandra, Matzke, Dora, Ly, Alexander, Boehm, Udo, Marsman, Maarten, Leslie, David S., Forster, Jonathan J., Wagenmakers, Eric-Jan, Steingroever, Helen
Format: Artigo
Idioma:Inglês
Publicat: Academic Press 2017
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC5699790/
https://ncbi.nlm.nih.gov/pubmed/29200501
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jmp.2017.09.005
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