4 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 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…
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 Look into the Problem of Preferential Sampling from the Lens of Survey Statistics
Daniel Vedensky, Paul A. Parker, Scott H. Holan
An evolving problem in the field of spatial and ecological statistics is that of preferential sampling, where biases may be present due to a relationship between sample data locati…