A Markov chain Monte Carlo algorithm for multiple imputation in large surveys

DOI10.1007/s10182-008-0053-6zbMath1171.62076OpenAlexW1977561074MaRDI QIDQ732236

Daniel Schunk

Publication date: 9 October 2009

Published in: AStA. Advances in Statistical Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10182-008-0053-6

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Applications of statistics to social sciences (62P25) Sampling theory, sample surveys (62D05) Numerical analysis or methods applied to Markov chains (65C40)

Related Items (2)

Multiple imputation in practice -- a case study using a complex German establishment survey ⋮ Illuminate the unknown: evaluation of imputation procedures based on the SAVE survey

Cites Work

• Survey item nonresponse and its treatment
• Partial identification with missing data: concepts and findings
• Multiple Imputation After 18+ Years
• Imputation using markov chains
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• The Calculation of Posterior Distributions by Data Augmentation
• Multiple Imputation for Interval Estimation From Simple Random Samples With Ignorable Nonresponse
• Microeconometrics
• Monte Carlo sampling methods using Markov chains and their applications
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