91 citations · 386 across the 54 of their papers we have counts for
5 papers · 1 filter
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…
Bayesian Marked Point Process Modeling for Generating Fully Synthetic Public Use Data with Point-Referenced Geography
Harrison Quick, Scott H. Holan, Christopher K. Wikle +1
Many data stewards collect confidential data that include fine geography. When sharing these data with others, data stewards strive to disseminate data that are informative for a w…
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…
Bayesian Semiparametric Hierarchical Empirical Likelihood Spatial Models
Aaron T. Porter, Scott H. Holan, Christopher K. Wikle
We introduce a general hierarchical Bayesian framework that incorporates a flexible nonparametric data model specification through the use of empirical likelihood methodology, whic…
Bayesian Spatial Change of Support for Count-Valued Survey Data
Jonathan R. Bradley, Christopher K. Wikle, Scott H. Holan
We introduce Bayesian spatial change of support methodology for count-valued survey data with known survey variances. Our proposed methodology is motivated by the American Communit…