The empty set and zero likelihood problems in maximum empirical likelihood estimation

DOI10.1214/12-EJS750zbMath1295.62027MaRDI QIDQ1950904

L. Andries van der Ark, Marcel Croon, Wicher P. Bergsma

Publication date: 28 May 2013

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ejs/1355495989

zbMATH Keywords

empirical likelihoodmarginal modeloptimization with constraintsempty set problemzero likelihood problem

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Estimation in multivariate analysis (62H12) Nonparametric estimation (62G05) Hypothesis testing in multivariate analysis (62H15) Contingency tables (62H17)

Related Items (3)

Empirical likelihood confidence tubes for functional parameters in plug-in estimation ⋮ Level-specific correction for nonparametric likelihoods ⋮ Maximum augmented empirical likelihood estimation of categorical marginal models for large sparse contingency tables

Cites Work

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• Adjusted empirical likelihood with high-order precision
• Marginal models. For dependent, clustered, and longitudinal categorical data
• Empirical likelihood and general estimating equations
• Empty set problem of maximum empirical likelihood methods

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