Empirical Likelihood for Single-Index Regression Models under Negatively Associated Errors

DOI10.1080/03610926.2012.758746zbMath1321.62035OpenAlexW2020561277MaRDI QIDQ5265873

Ran Wang, Zheng Yan Lin

Publication date: 29 July 2015

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

Full work available at URL: https://doi.org/10.1080/03610926.2012.758746

zbMATH Keywords

empirical likelihoodblockwisesingle-index modelnegatively associatedNA errors

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Nonparametric tolerance and confidence regions (62G15)

Related Items (1)

Empirical likelihood for partially linear single-index models under negatively associated errors

Cites Work

• Empirical likelihood methods with weakly dependent processes
• Empirical likelihood for linear models under negatively associated errors
• Empirical likelihood ratio confidence regions
• Extending the scope of empirical likelihood
• Slicing regression: A link-free regression method
• Semiparametric least squares (SLS) and weighted SLS estimation of single-index models
• Empirical likelihood and general estimating equations
• Uniformly asymptotic normality of the regression weighted estimator for negatively associated samples.
• A comparison theorem on moment inequalities between negatively associated and independent random variables
• The law of iterated logarithm for negatively associated random variables
• Negative association of random variables, with applications
• Empirical likelihood for single-index models
• Empirical Likelihood Confidence Regions in a Partially Linear Single-Index Model
• Consistent Estimation of Scaled Coefficients
• Empirical likelihood ratio confidence intervals for a single functional

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