The empirical likelihood prior applied to bias reduction of general estimating equations

DOI10.1016/j.csda.2019.04.001OpenAlexW2963311446WikidataQ91580418 ScholiaQ91580418MaRDI QIDQ2419150

Albert Vexler, Li Zou, Alan D. Hutson

Publication date: 29 May 2019

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1808.06222

zbMATH Keywords

asymptotic biasempirical likelihoodreference priorpenalized likelihoodbiased estimating equationsexpected Kullback-Leibler distance

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)

Related Items (1)

Bayesian empirical likelihood of quantile regression with missing observations

Uses Software

• R

Cites Work

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