In the exponential regression model, Bayesian inference concerning the non-linear regression parameter p has proved extremely difficult. In particular, standard improper diffuse priors for the usual parameters lead to an improper posterior for the non-linear regression parameter. In a recent paper Y
Bayes factor for non-dominated statistical models
β Scribed by Claudio Macci; Silvia Polettini
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 130 KB
- Volume
- 53
- Category
- Article
- ISSN
- 0167-7152
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β¦ Synopsis
This paper deals with the deΓΏnition of the Bayes factor (BF) for non-dominated statistical models, where the ordinary likelihood function is not deΓΏned. A general deΓΏnition of BF is proposed, which also covers dominated models; its main properties are examined and its practical use discussed through some simple examples, aimed at illustrating the behaviour of the BF in non-standard problems.
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