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ASSESSING LOCAL PRIOR INFLUENCE IN BAYESIAN ANALYSIS
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作者 SHIH JIANQING 《Applied Mathematics(A Journal of Chinese Universities)》 SCIE CSCD 1995年第2期123-132,共10页
A general method for assessing local influence of minor perturbations of prior in Bayesian analysis is developed in this paper. U8ing some elementary ideas from differelltial geometryl we provide a unified approach fo... A general method for assessing local influence of minor perturbations of prior in Bayesian analysis is developed in this paper. U8ing some elementary ideas from differelltial geometryl we provide a unified approach for handling a variety of problexns of local prior influence. AS applications, we discuss the local influence of small perturbstions of normal-gamma prior density in linear model and investigate local prior influence from the predictive view. 展开更多
关键词 local prior influence CURVATURE Kullback-Leibler divergence Fisher information normal-gamma prior predictive distribution.
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