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两种终端决策与多阶段抽样的贝叶斯决策规则渐近性质：第二部分AI 解读

Summary The paper is a continuation of a paper by the same authors. The model is based on a differentiable prior distribution, a linear loss function, an asymptotically normal sampling distribution and sampling costs proportional to the sample size. Asymptotic expressions are derived for sample sizes, acceptance and rejection criteria and the minimum regret for some k-stage sampling and decision procedures. In the present paper three cases not considered in the previous…

两种终端决策与多阶段抽样下贝叶斯决策规则的渐近性质（一）AI 解读

Summary The model is based on a differentiable prior distribution, a linear loss function, an asymptotically normal sampling distribution and sampling costs proportional to the sample size. Asymptotic expressions are derived for sample sizes, acceptance and rejection criteria and the minimum regret by minimizing the average regret for a k-stage sampling and decision procedure. The results generalize previously known results for k = 1 and 2 and bridge the gap to sequential…