Heavy-Tailed Distribution for Combining Dependent P-Values With Asymptotic Robustness

DOI10.5705/ss.202022.0046arXiv2103.12967MaRDI QIDQ6069860

Unnamed Author, Chung Chang, Yongseok Park, George C. Tseng

Publication date: 17 November 2023

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2103.12967

zbMATH Keywords

regularly varying distributionglobal hypothesis testingcombining dependent \(p\)-values\(p\)-value combination method

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Unnamed Item
• Higher criticism for detecting sparse heterogeneous mixtures.
• Admissible ways of merging \(p\)-values under arbitrary dependence
• Higher criticism: \(p\)-values and criticism
• Cauchy Combination Test: A Powerful Test With Analytic p-Value Calculation Under Arbitrary Dependency Structures
• Sums of Pairwise Quasi-Asymptotically Independent Random Variables with Consistent Variation
• Goodness-of-fit test statistics that dominate the Kolmogorov statistics
• Combining p-values via averaging
• Reply to Held: When is a harmonic mean p -value a Bayes factor?
• The harmonic mean p -value for combining dependent tests
• Accurate and Efficient P-value Calculation Via Gaussian Approximation: A Novel Monte-Carlo Method
• Asymptotic Optimality of Fisher's Method of Combining Independent Tests
• Trade-off Between Validity and Efficiency of Merging P-Values Under Arbitrary Dependence

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