2 citations · 2 across the 3 of their papers we have counts for
3 papers
Bayesian Modeling of Gibbs Point Processes via Basis Function Expansions
Christopher Hassett, Athanasios C. Micheas, Scott H. Holan +1
We present a hierarchical Bayesian framework for non-homogeneous pairwise interaction Gibbs point process models, where the global and local effect functions are modeled via basis…
Inference for Log-Gaussian Cox Point Processes using Bayesian Deep Learning: Application to Human Oral Microbiome Image Data
Shuwan Wang, Christopher K. Wikle, Athanasios C. Micheas +3
It is common in nature to see aggregation of objects in space. Exploring the mechanism associated with the locations of such clustered observations can be essential to understandin…
A Spatio-Temporal Point Process Model for Ambulance Demand
Zhengyi Zhou, David S. Matteson, Dawn B. Woodard +2
Ambulance demand estimation at fine time and location scales is critical for fleet management and dynamic deployment. We are motivated by the problem of estimating the spatial dist…