论文标题
效率需要适应
Efficiency Requires Adaptation
论文作者
论文摘要
大多数历史设计本质上都是先验的，在该设计本质上，可以在实验之前指出设计。传统的观点是，先验设计的集合足以产生有效的实验。这项工作挑战了这一公约，发现效率需要数据依赖的策略。具体而言，在顺序实验的背景下，在一系列运行中进行观测值，提出了一种自适应设计，该设计比任何相应的先验设计都更有效。
The majority of historical designs are a priori in nature, where a priori indicates a design can be specified in advance of the experiment. The conventional wisdom is that the set of a priori designs is sufficient to produce efficient experiments. This work challenges this convention and finds that efficiency requires data dependent strategies. Specifically, in the context of a sequential experiment, where observations are accrued in a series of runs, an adaptive design is proposed that is guaranteed to be more efficient than any corresponding a priori design.
