On the empirical multilinear copula process for count data
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Publication:396007
DOI10.3150/13-BEJ524zbMath1365.62221arXiv1407.1200OpenAlexW3104996773MaRDI QIDQ396007
Johanna G. Nešlehová, Bruno Rémillard, Christian Genest
Publication date: 8 August 2014
Published in: Bernoulli (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1407.1200
count dataempirical processKendall's taucontingency tableSpearman's rhotest of independencecheckerboard copulamultilinear extension copulamid-ranksSpearsman's rho
Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Central limit and other weak theorems (60F05) Measures of association (correlation, canonical correlation, etc.) (62H20) Functional limit theorems; invariance principles (60F17) Contingency tables (62H17)
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