91 citations · 257 across the 49 of their papers we have counts for
50 papers
Nonprobability Samples for Small Area Estimation: A Review and Comparative Simulation Study
Sho Kawano, Daniel Vedensky, Qianyu Dong +5
Nonprobability samples (NPS) are attractive because they are less costly to collect, can provide substantially larger sample sizes, and may reach populations that traditional proba…
Bayesian Modeling of Gibbs Point Processes via Basis Function Expansions
Christopher Hassett, Athanasios C. Micheas, Scott H. Holan +1
We present a hierarchical Bayesian framework for non-homogeneous pairwise interaction Gibbs point process models, where the global and local effect functions are modeled via basis…
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…
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…
An Anytime Valid Test for Complete Spatial Randomness
Vaidehi Dixit, Christopher K. Wikle, Scott H. Holan
A relevant question when analyzing spatial point patterns is that of spatial randomness. More specifically, before any model can be fit to a point pattern a first step is to test t…
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,…