69 citations · 130 across the 29 of their papers we have counts for
3 papers · 1 filter
Composite Dyadic Models for Spatio-Temporal Data
Michael R Schwob, Mevin B Hooten, Vagheesh Narasimhan
Mechanistic statistical models are commonly used to study the flow of biological processes. For example, in landscape genetics, the aim is to infer spatial mechanisms that govern g…
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,…
Geostatistical capture-recapture models
Mevin B Hooten, Michael R Schwob, Devin S Johnson +1
Methods for population estimation and inference have evolved over the past decade to allow for the incorporation of spatial information when using capture-recapture study designs.…