Detecting sparse heterogeneous mixtures in a two-sample problem

DOI10.1080/03610926.2021.1926510arXiv2011.13496OpenAlexW3164372674MaRDI QIDQ6107567

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Publication date: 3 July 2023

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2011.13496

zbMATH Keywords

two samplesparse mixtureshigher criticism test

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• The asymptotic distribution of the supremum of the standardized empirical distribution function on subintervals
• Some problems of hypothesis testing leading to infinitely divisible distributions
• Ball divergence: nonparametric two sample test
• Higher criticism for detecting sparse heterogeneous mixtures.
• Nonparametric tests for stochastic ordering
• Two-sample Kolmogorov-Smirnov-type tests revisited: old and new tests in terms of local levels
• Distribution-free tests for sparse heterogeneous mixtures
• Optimal detection of weak positive latent dependence between two sequences of multiple tests
• Goodness-of-fit tests via phi-divergences
• Optimal Detection of Sparse Mixtures Against a Given Null Distribution
• Locally Most Powerful Tests for Detecting Treatment Effects When Only a Subset of Patients Can Be Expected to "Respond" to Treatment
• A Simulation Study of One- and Two-Sample Kolmogorov-Smirnov Statistics with a Particular Weight Function
• The sparse variance contamination model
• On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other
• Consistency and Unbiasedness of Certain Nonparametric Tests
• The Power of Rank Tests

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