Rank correlation under categorical confounding

DOI10.1186/s40488-017-0076-1zbMath1397.62208OpenAlexW2754449371WikidataQ59522978 ScholiaQ59522978MaRDI QIDQ1690084

Jean-François Plante

Publication date: 18 January 2018

Published in: Journal of Statistical Distributions and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1186/s40488-017-0076-1

zbMATH Keywords

copulasconfoundingrank statisticsweighted methodsMAMSE weights

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Nonparametric estimation (62G05) Measures of association (correlation, canonical correlation, etc.) (62H20) Order statistics; empirical distribution functions (62G30)

Uses Software

• TwoCop

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• On the empirical multilinear copula process for count data
• Asymptotics of empirical copula processes under non-restrictive smoothness assumptions
• About an adaptively weighted Kaplan-Meier estimate
• Conditional copulas, association measures and their applications
• Testing for equality between two copulas
• Asymptotic properties of the MAMSE adaptive likelihood weights
• Asymptotic normality of nonparametric tests for independence
• An introduction to copulas. Properties and applications
• Weak convergence of empirical copula processes
• Selecting likelihood weights by cross-validation
• \(K\)-sample problem using strong approximations of empirical copula processes
• Estimation of a Conditional Copula and Association Measures
• A model for association in bivariate life tables and its application in epidemiological studies of familial tendency in chronic disease incidence
• On blest's measure of rank correlation
• Theory & Methods: Rank Correlation — an Alternative Measure
• A WEIGHTED RANK MEASURE OF CORRELATION
• Nonparametric adaptive likelihood weights
• A Primer on Copulas for Count Data
• Asymptotic Normality of Nonparametric Tests for Independence
• Semiparametric estimation in copula models