activity
20142023
most citedBayesian Spatial Change of Support for Count-Valued Survey Data

5 citations · 13 across the 8 of their papers we have counts for

collaborators

8 papers

stat.ME2023

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…

stat.ME2023

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…

stat.ME2022

Conjugate Modeling Approaches for Small Area Estimation with Heteroscedastic Structure

Paul A. Parker, Scott H. Holan, Ryan Janicki

Small area estimation has become an important tool in official statistics, used to construct estimates of population quantities for domains with small sample sizes. Typical area-le…

stat.ME2014

Bayesian Lattice Filters for Time-Varying Autoregression and Time-Frequency Analysis

Wen-Hsi Yang, Scott H. Holan, Christopher K. Wikle

Modeling nonstationary processes is of paramount importance to many scientific disciplines including environmental science, ecology, and finance, among others. Consequently, flexib…

stat.ME20144 cited

Mixed Effects Modeling for Areal Data that Exhibit Multivariate-Spatio-Temporal Dependencies

Jonathan R. Bradley, Scott H. Holan, Christopher K. Wikle

There are many data sources available that report related variables of interest that are also referenced over geographic regions and time; however, there are relatively few general…

stat.ME20143 cited

The Cepstral Model for Multivariate Time Series: The Vector Exponential Model

Scott H. Holan, Tucker S. McElroy, Guohui Wu

Vector autoregressive (VAR) models have become a staple in the analysis of multivariate time series and are formulated in the time domain as difference equations, with an implied c…