摘要：Scienti c hypotheses of interest often involve variables that are not
available in a single survey. This is a common problem for researchers working
with survey data. We propose a model-based approach to provide information
about the missing variable. We use a spatial extension of the BART (Bayesian
additive regression tree) model. The imputation of the missing variables and infer-
ence about the relationship between two variables are obtained simultaneously as
posterior inference under the proposed model. The uncertainty due to imputation
is automatically accounted for. A simulation analysis and an application to data
on self-perceived health status and income are presented.
