5 papers
A Comprehensive Bayesian Approach to Entity Resolution for Data with Multiple Truths
Hyungjoon Kim, Andee Kaplan, Matthew D. Koslovsky
In many applications, from government to ecology, integrating data from diverse and noisy sources is critical for downstream inference. However, a unique identifier to link records…
ldmppr: Location Dependent Marked Point Processes in R
Lane Drew, Andee Kaplan
In this article, we present , an R package for estimating, evaluating, simulating from, and visualizing location-dependent marked spatial point processes. To date,…
A Bayesian Record Linkage Approach to Applications in Tree Demography Using Overlapping LiDAR Scans
L. Drew, A. Kaplan, I. Breckheimer
In the information age, it has become increasingly common for data containing records about overlapping individuals to be distributed across multiple sources, making it necessary t…
The Fast and the Furious: Tracking the Effect of the Tomoa Skip on Speed Climbing
Caleb Chou, Andee Kaplan
Sport climbing is an athletic discipline comprised of three sub-disciplines -- lead climbing, bouldering, and speed climbing. These three sub-disciplines have distinct goals, resul…
A Unified Bayesian Framework for Modeling Measurement Error in Multinomial Data
Matthew D. Koslovsky, Andee Kaplan, Victoria A. Terranova +1
Measurement error in multinomial data is a well-known and well-studied inferential problem that is encountered in many fields, including engineering, biomedical and omics research,…