1 citations · 1 across the 3 of their papers we have counts for
3 papers
Dyadic Flow Models for Nonstationary Gene Flow in Landscape Genomics
Michael R. Schwob, Nicholas M. Calzada, Justin J. Van Ee +6
The field of landscape genomics aims to infer how landscape features affect gene flow throughout a population. Most landscape genomic frameworks assume the isolation-by-distance an…
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…
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…