91 citations · 257 across the 49 of their papers we have counts for
4 papers · 1 filter
A Criterion for Aggregation Error for Multivariate Spatial Data
Ranadeep Daw, Jonathan R. Bradley, Christopher K. Wikle +1
The criterion for aggregation error (CAGE) is an important metric that aims to measure errors that arise in multiscale (or multi-resolution) spatial data, referred to as the modifi…
The Link Between Health Insurance Coverage and Citizenship Among Immigrants: Bayesian Unit-Level Regression Modeling of Categorical Survey Data Observed with Measurement Error
Paul A. Parker, Scott H. Holan, James D. Bachmeier +1
Social scientists are interested in studying the impact that citizenship status has on health insurance coverage among immigrants in the United States. This can be done using data…
Bayesian Unit-level Models for Longitudinal Survey Data under Informative Sampling: An Analysis of Expected Job Loss Using the Household Pulse Survey
Daniel Vedensky, Paul A. Parker, Scott H. Holan
The Household Pulse Survey (HPS), recently released by the U.S. Census Bureau, gathers timely information about the societal and economic impacts of coronavirus. The first phase of…
A Socio-Demographic Latent Space Approach to Spatial Data When Geography is Important but Not All-Important
Saikat Nandy, Scott H. Holan, Michael Schweinberger
Many models for spatial and spatio-temporal data assume that "near things are more related than distant things," which is known as the first law of geography. While geography may b…