Robust test for independence in high dimensions

DOI10.1080/03610926.2016.1228965zbMath1462.62341OpenAlexW2526565951MaRDI QIDQ4598596

Guangyu Mao

Publication date: 15 December 2017

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

Full work available at URL: https://doi.org/10.1080/03610926.2016.1228965

zbMATH Keywords

high-dimensional datahigher-order momentsindependence testrank correlation

Mathematics Subject Classification ID

Hypothesis testing in multivariate analysis (62H15)

Related Items (5)

Limiting spectral distribution of large dimensional Spearman's rank correlation matrices ⋮ Testing independence in high dimensions using Kendall's tau ⋮ Max-sum test based on Spearman's footrule for high-dimensional independence tests ⋮ Generalized Schott type tests for complete independence in high dimensions ⋮ Nonparametric tests of independence based on interpoint distances

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