Computational methods for Bayesian model choice
| Data(s) |
2009
|
|---|---|
| Resumo |
In this note, we shortly survey some recent approaches on the approximation of the Bayes factor used in Bayesian hypothesis testing and in Bayesian model choice. In particular, we reassess importance sampling, harmonic mean sampling, and nested sampling from a unified perspective. |
| Identificador | |
| Relação |
DOI:10.1063/1.3275622 Robert, C.P. & Wraith, D. (2009) Computational methods for Bayesian model choice. In AIP Conference 2009, 5–10 July 2009, Oxford (Mississippi). |
| Fonte |
Faculty of Health; Institute of Health and Biomedical Innovation; School of Public Health & Social Work |
| Tipo |
Conference Paper |
