Use of auxiliary data in semi-parametric spatial regression with nonignorable missing responses

DOI10.1177/1471082006071849OpenAlexW1995258057MaRDI QIDQ4970722

Matteo Bottai, Marco Geraci

Publication date: 7 October 2020

Published in: Statistical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1177/1471082006071849

zbMATH Keywords

missing datacorrelated dataauxiliary dataMonte Carlo EM algorithmradial smoother

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• R
• FUNFITS
• SemiPar

Cites Work

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• Adaptive Rejection Metropolis Sampling within Gibbs Sampling
• Semiparametric Regression
• Semiparametric Regression for Repeated Outcomes with Nonignorable Nonresponse
• Monte Carlo EM for Missing Covariates in Parametric Regression Models
• Approximate Inference in Generalized Linear Mixed Models

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