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stat.ME2025
A multi-stage Bayesian approach to fit spatial point process models
Rachael Ren, Mevin B. Hooten, Toryn L. J. Schafer +4
Spatial point process (SPP) models are commonly used to analyze point pattern data in many fields, including presence-only data in ecology. Existing exact Bayesian methods for fitt…
stat.ME2024★ 1 cited
Spatial Hyperspheric Models for Compositional Data
Michael R. Schwob, Mevin B. Hooten, Nicholas M. Calzada +1
Compositional observations are an increasingly prevalent data source in spatial statistics. Analysis of such data is typically done on log-ratio transformations or via Dirichlet re…