A Bayesian Small Area Model with Dirichlet Processes on the Responses
Jiani Yin/ Balgobin Nandram
Typically survey data have responses with gaps, outliers and ties, and the distributions of the responses might be skewed. Usually, in small area estimation, predictive inference is done using a two-stage Bayesian model with normality at both levels (responses and area means). This is the Scott-Smith (S-S) model and it may not be robust against these features. Another model that can be used to provide a more robust structure is the two-stage Dirichlet process mixture (DPM) model, which has indep(..)
DOI: 10.21307/stattrans-2020-041
Published Online: 20-September-2020