Quantile regression with covariates missing at random

DOI10.5705/ss.2011.302OpenAlexW2332653038MaRDI QIDQ5248916

Ying Wei, Yunwen Yang

Publication date: 28 April 2015

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/d7d878fe2ceccf51f8d9a8e7f1f647d68f6b5c7a

zbMATH Keywords

regression quantilesquantile regressionmissing datamissing at random

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (9)

Bayesian semiparametric approach to quantile nonlinear dynamic factor analysis models with mixed ordered and nonignorable missing data ⋮ Variable selection for additive partial linear quantile regression with missing covariates ⋮ Empirical likelihood in varying-coefficient quantile regression with missing observations ⋮ Importance sampling imputation algorithms in quantile regression with their application in CGSS data ⋮ Quantile Regression for Nonignorable Missing Data with Its Application of Analyzing Electronic Medical Records ⋮ A fast imputation algorithm in quantile regression ⋮ Bayesian quantile regression with mixed discrete and nonignorable missing covariates ⋮ A panel quantile approach to attrition bias in big data: evidence from a randomized experiment ⋮ Goodness-of-fit tests for quantile regression with missing responses

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