Approximate Bayes factors and accounting for model uncertainty in generalised linear models
广义线性模型的近似贝叶斯因子与模型不确定性处理
Ways of obtaining approximate Bayes factors for generalised linear models are described, based on the Laplace method for integrals. We propose a new approximation which uses only the output of standard computer programs for estimating generalised linear models, this appears to be quite accurate. A reference set of proper priors is suggested, both to represent the situation where there is not much prior information, and to assess the sensitivity of the results to the prior…