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首页> 美国政府科技报告 >Maximum Imprecision Related to Intervals of Measures and Bayesian Inference withConjugate Imprecise Prior Densities
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Maximum Imprecision Related to Intervals of Measures and Bayesian Inference withConjugate Imprecise Prior Densities

机译：与测量间隔相关的最大不精确度和具有共轭不精确先验密度的贝叶斯推断

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摘要

Following the concept of intervals of measures, some general results are derivedfor the maximum imprecision related to imprecise densities. A model for Bayesian inference with imprecise prior densities is proposed, where members of a conjugate family can be chosen to enable updating in a simple way. The model generalizes the former versions, as the lower and upper densities are no longer restricted to be equal up to a constant factor, and some results are derived for the maximum imprecision. Within the Bayesian framework, this general model allows wide classes of prior densities. The price for the greater generality of the model is that more hyperparameters need to be assessed.

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