评论:关于Choquet能力的集中、软和强修正及其在统计中的作用

IF 3.9 1区 数学 Q1 STATISTICS & PROBABILITY Statistical Science Pub Date : 2021-04-01 DOI:10.1214/21-STS765D
Thomas Augustin, G. Schollmeyer
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引用次数: 3

摘要

我们祝贺龚若彬和李晓丽发表了发人深省的论文,展示了统计中不精确概率的力量。特别是,Gong和孟通过在广义不确定性量化和用于更新的不同条件规则的框架中讨论重要的统计悖论来澄清它们。在本文中,我们将这三个条件规则描述为特定条件概率集的包络。这种观点也提出了一些可以被视为妥协规则的概括。与Gong和孟类似,我们的推导主要集中在2阶的Choquet容量上,因此我们也简要讨论了它们作为统计模型的一般作用。最后,我们对处理不确定性的多维性的不精确概率的潜力作了一些一般性评论。
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Comment: On Focusing, Soft and Strong Revision of Choquet Capacities and Their Role in Statistics
We congratulate Ruobin Gong and Xiao-Li Meng on their thought-provoking paper demonstrating the power of imprecise probabilities in statistics. In particular, Gong and Meng clarify important statistical paradoxes by discussing them in the framework of generalized uncertainty quantification and different conditioning rules used for updating. In this note, we characterize all three conditioning rules as envelopes of certain sets of conditional probabilities. This view also suggests some generalizations that can be seen as compromise rules. Similar to Gong and Meng, our derivations mainly focus on Choquet capacities of order 2, and so we also briefly discuss in general their role as statistical models. We conclude with some general remarks on the potential of imprecise probabilities to cope with the multidimensional nature of uncertainty.
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来源期刊
Statistical Science
Statistical Science 数学-统计学与概率论
CiteScore
6.50
自引率
1.80%
发文量
40
审稿时长
>12 weeks
期刊介绍: The central purpose of Statistical Science is to convey the richness, breadth and unity of the field by presenting the full range of contemporary statistical thought at a moderate technical level, accessible to the wide community of practitioners, researchers and students of statistics and probability.
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