A new Bayesian nonparametric model (NLMFM-C) is proposed to express collections of income densities as mixtures of latent factors with spatial and covariate effects, demonstrated on US PUMS income data from 2016 and 2020.
Livingston & Wyoming and Onondaga Central exhibit positive changes in both the mid and low factor contrasts between 2016 to
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Modelling spatial heterogeneity in the effects of area-level covariates on income distributions using Bayesian nonparametric methods
A new Bayesian nonparametric model (NLMFM-C) is proposed to express collections of income densities as mixtures of latent factors with spatial and covariate effects, demonstrated on US PUMS income data from 2016 and 2020.