标题： 关于在依赖情况下错误发现控制的研究 显示英文标题

标题： On false discovery control under dependence

摘要： 一个用于错误发现控制的流行框架是随机效应模型，在该模型中假定零假设是相互独立的。 本文将随机效应模型推广到条件相依模型，该模型允许零假设之间存在相依性。 这种相依性可以有助于刻画零假设的空间结构。 研究了错误发现比例和被拒绝假设个数的渐近性质，并得到了大样本分布理论。 显示英文摘要

摘要： A popular framework for false discovery control is the random effects model in which the null hypotheses are assumed to be independent. This paper generalizes the random effects model to a conditional dependence model which allows dependence between null hypotheses. The dependence can be useful to characterize the spatial structure of the null hypotheses. Asymptotic properties of false discovery proportions and numbers of rejected hypotheses are explored and a large-sample distributional theory is obtained.