Generalized Bayes' theorem for non-precise a-priori distribution
Generalized Bayes' theorem for non-precise a-priori distribution
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DOI：
10.1007/s001840300283
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发表时间：
2004-06-01
期刊：
影响因子：
0.7
通讯作者：
Hareter, D
中科院分区：
文献类型：
--
作者：
Viertl, R;Hareter, D
先验知识在参数空间上的精确概率分布形式是有问题的。对于更一般形式的先验信息，所谓的非精确先验密度是一种合适的定量描述。这种先验信息可以用在贝叶斯定理的广义版中。
A-priori knowledge in form of one exact probability distribution on the parameter space is questionable. For more general forms of a-priori information so-called non-precise a-priori densities are a suitable quantitative description. This kind of a-priori information can be used in a generalized version of Bayes' theorem.