Abstract

For estimating a lower bounded location or mean parameter for a symmetric and logconcave density, we investigate the frequentist performance of the 100(1α)100(1-\alpha)% Bayesian HPD credible set associated with priors which are truncations of flat priors onto the restricted parameter space. Various new properties are obtained. Namely, we identify precisely where the minimum coverage is obtained and we show that this minimum coverage is bounded between 13α21-\frac{3\alpha}{2} and 13α2+α21+α1-\frac{3\alpha}{2}+\frac{\alpha^2}{1+\alpha}; with the lower bound 13α21-\frac{3\alpha}{2} improving (for α1/3\alpha \leq 1/3) on the previously established ([9]; [8]) lower bound 1α1+α\frac{1-\alpha}{1+\alpha}. Several illustrative examples are given.Comment: Published in at http://dx.doi.org/10.1214/08-EJS292 the Electronic Journal of Statistics (http://www.i-journals.org/ejs/) by the Institute of Mathematical Statistics (http://www.imstat.org

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