POLS 506: Bayesian and Nonparametric Statistics - Lecture 10 - Missing Data and Multiple Imputation

Автор: Justin Esarey

Загружено: 2012-12-01

Просмотров: 10892

Описание: Created on 12/1/2012 by Dr. Justin Esarey, Assistant Professor of Political Science at Rice University. Notes problems that can arise from ignoring missing data in statistical analysis. Discusses two potential solutions: the Multiple Imputation using Chained Equations algorithm of van Buuren et al., and a fully Bayesian model of imputation in BUGS.

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POLS 506: Bayesian and Nonparametric Statistics - Lecture 10 - Missing Data and Multiple Imputation

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