Bayesian Spatial Homogeneity Pursuit of Functional Data: An Application to the U.S. Income Distribution
نویسندگان
چکیده
An income distribution describes how an entity’s total wealth is distributed amongst its population. A problem of interest to regional economics researchers understand the spatial homogeneity distributions among different regions. In economics, Lorenz curve a well-known functional representation distribution. this article, we propose mixture finite mixtures (MFM) model as well Markov random field constrained (MRFC-MFM) in context data analysis capture curves. We design efficient chain Monte Carlo (MCMC) algorithms simultaneously infer posterior number clusters and clustering configuration data. Extensive simulation studies are carried out show effectiveness proposed methods compared with existing methods. apply method state level curves from American Community Survey Public Use Microdata Sample (PUMS) The results reveal important patterns state-level across US.
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ژورنال
عنوان ژورنال: Bayesian Analysis
سال: 2023
ISSN: ['1936-0975', '1931-6690']
DOI: https://doi.org/10.1214/22-ba1320