7 papers
Bias Reduction for Local Polynomial Derivative Estimation
Fujia Chang, W. John Braun
Local polynomial smoothing is commonly used in non-parametric regression, but local linear derivative estimation still has a bias of order . This paper proposes an iterativ…
Scalable Joint Modeling of Dependent Multi-Type Survey Data for Small Area Estimation
Zewei Kong, Paul A. Parker, Scott H. Holan
We develop a Bayesian area-level small area estimation framework that jointly models binomial and Gaussian survey responses through shared spatial random effects. This work is moti…
On Data Thinning for Model Validation in Small Area Estimation
Sho Kawano, Paul A. Parker, Zehang Richard Li
Small area estimation produces estimates of population parameters for geographic and demographic subgroups with limited sample sizes. Such estimates are critical for policy decisio…
A Bayesian Approach to Unit-level Dependent Multi-type Survey Data
Zewei Kong, Paul A. Parker, Jonathan R. Bradley +1
The American Community Survey (ACS) Public Use Microdata Sample (PUMS) provides access to a wide range of unit-level survey data consisting of correlated Gaussian and binomial dist…
Variational Autoencoded Multivariate Spatial Fay-Herriot Models
Zhenhua Wang, Paul A. Parker, Scott H. Holan
Small area estimation models are essential for estimating population characteristics in regions with limited sample sizes, thereby supporting policy decisions, demographic studies,…
Bayesian Unit-level Modeling of Categorical Survey Data with a Longitudinal Design
Daniel Vedensky, Paul A. Parker, Scott H. Holan
Categorical response data are ubiquitous in complex survey applications, yet few methods model the dependence across different outcome categories when the response is ordinal. Like…