A hybrid approach for regression analysis with block missing data

DOI10.1016/j.csda.2014.02.014zbMath1506.62114OpenAlexW1964943732MaRDI QIDQ1623495

Chien-Pai Han, Qizhai Li, Bo Li, Zhengbang Li

Publication date: 23 November 2018

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

Full work available at URL: https://doi.org/10.1016/j.csda.2014.02.014

zbMATH Keywords

likelihoodfrequentistBayesianhybridblock missing

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Missing data (62D10)

Cites Work

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• Bayesian frequentist hybrid inference
• Maximum likelihood estimates for a bivariate normal distribution with missing data
• Maximum Likelihood Estimation for Incomplete Repeated-Measures Experiments under an ARMA Covariance Structure
• Maximum Likelihood Estimates for a Multivariate Normal Distribution when some Observations are Missing
• Estimation of Parameters From Incomplete Multivariate Samples
• Inference and missing data
• A test of missing completely at random for generalised estimating equations with missing data
• Likelihood Methods for Incomplete Longitudinal Binary Responses with Incomplete Categorical Covariates
• Stochastic Approximation Boosting for Incomplete Data Problems

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