论文标题
揭开推论模型：一种基准观点
Demystifying Inferential Models: A Fiducial Perspective
论文作者
论文摘要
对于有效的不确定性量化，推论模型最近已获得普及。在本文中，我们通过探索推论模型，基准推断和置信度曲线之间的关系来研究推论模型。简而言之，我们认为从某个角度来看，推论模型可以视为基于基于分布的置信度曲线。我们表明，推论模型的所有概率不确定性量化都是基于我们命名原理集和原理断言的集合的集合。
Inferential models have recently gained in popularity for valid uncertainty quantification. In this paper, we investigate inferential models by exploring relationships between inferential models, fiducial inference, and confidence curves. In short, we argue that from a certain point of view, inferential models can be viewed as fiducial distribution based confidence curves. We show that all probabilistic uncertainty quantification of inferential models is based on a collection of sets we name principle sets and principle assertions.
