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关于似然、贝叶斯方法与预设值偏好的一则评论
As judged by large sample efficiency, one can make use of a preconceived value in a considerably less modest way than Bayes's theorem permits, provided one respects the likelihood function.
混合概率下的贝叶斯因子
Summary A new expression for a Bayes factor as a weighted average of conditional Bayes factors is given, resembling the familiar relation for a marginal probability as a weighted average of conditional probabilities. Interpretations are given for the three contexts of (i) the use of a non-sufficient statistic, (ii) inference for a simple hypothesis versus a vague alternative in terms of inference for a dichotomy and (iii) opinion pooling before sampling.
关于似然、贝叶斯与对预设值倾向的一则评论
As judged by large sample efficiency, one can make use of a preconceived value in a considerably less modest way than Bayes's theorem permits, provided one respects the likelihood function.