TL;DR本文详细分析了与missing at random假设和coarsened at random假设相关的几个问题并提供了一些评估数据收集或观察过程中ccar假设是否合理的标准。同时研究表明ccar条件是最合理的假设,因为它代表了满足一种自然鲁棒性属性的数据粗化过程。
Abstract
When dealing with incomplete data in statistical learning, or incomplete observations in probabilistic inference, one needs to distinguish the fact that a certain event is observed from the fact that the observed event has happened. Since the modeling and computational complexities ent