91 citations · 187 across the 22 of their papers we have counts for
4 papers · 1 filter
Computationally Efficient Distribution Theory for Bayesian Inference of High-Dimensional Dependent Count-Valued Data
Jonathan R. Bradley, Scott H. Holan, Christopher K. Wikle
We introduce a Bayesian approach for multivariate spatio-temporal prediction for high-dimensional count-valued data. Our primary interest is when there are possibly millions of dat…
Spatio-Temporal Change of Support with Application to American Community Survey Multi-Year Period Estimates
Jonathan R. Bradley, Christopher K. Wikle, Scott H. Holan
We present hierarchical Bayesian methodology to perform spatio-temporal change of support (COS) for survey data with Gaussian sampling errors. This methodology is motivated by the…
Multivariate spatio-temporal models for high-dimensional areal data with application to Longitudinal Employer-Household Dynamics
Jonathan R. Bradley, Scott H. Holan, Christopher K. Wikle
Many data sources report related variables of interest that are also referenced over geographic regions and time; however, there are relatively few general statistical methods that…
Regionalization of Multiscale Spatial Processes using a Criterion for Spatial Aggregation Error
Jonathan R. Bradley, Christopher K. Wikle, Scott H. Holan
The modifiable areal unit problem and the ecological fallacy are known problems that occur when modeling multiscale spatial processes. We investigate how these forms of spatial agg…