Bayesian quantile regression with mixed discrete and nonignorable missing covariates

DOI10.1214/19-BA1165zbMath1459.62062WikidataQ127678726 ScholiaQ127678726MaRDI QIDQ2226698

Zhi-Qiang Wang, Nian Sheng Tang

Publication date: 9 February 2021

Published in: Bayesian Analysis (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ba/1560909811

zbMATH Keywords

Bayesian analysisquantile regressionvariable selectionlocal influence analysisnon-ignorable missing data

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Estimation in multivariate analysis (62H12) Bayesian problems; characterization of Bayes procedures (62C10) Diagnostics, and linear inference and regression (62J20) Missing data (62D10)

Related Items (2)

Bayesian semiparametric approach to quantile nonlinear dynamic factor analysis models with mixed ordered and nonignorable missing data ⋮ Bayesian empirical likelihood of quantile regression with missing observations

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