activity
20162026
most citedHierarchical approaches for flexible and interpretable binary regression models

2 citations · 2 across the 9 of their papers we have counts for

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5 papers · 1 filter

stat.AP2025

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 across space. Most landscape genomic frameworks assume the isolation-by-distance and isolation…

stat.AP2018

Model Selection using Multi-Objective Optimization

Perry Williams, William Kendall, Mevin Hooten

Choices in scientific research and management require balancing multiple, often competing objectives.Multiple-objective optimization (MOO) provides a unifying framework for solving…

stat.AP2018

Running on empty: Recharge dynamics from animal movement data

Mevin B. Hooten, Henry R. Scharf, Juan M. Morales

Vital rates such as survival and recruitment have always been important in the study of population and community ecology. At the individual level, physiological processes such as e…

stat.AP2017

Monitoring dynamic spatio-temporal ecological processes optimally

Perry J. Williams, Mevin B. Hooten, Jamie N. Womble +2

Population dynamics varies in space and time. Survey designs that ignore these dynamics may be inefficient and fail to capture essential spatio-temporal variability of a process. A…

stat.AP2016

The basis function approach for modeling autocorrelation in ecological data

Trevor J. Hefley, Kristin M. Broms, Brian M. Brost +6

Analyzing ecological data often requires modeling the autocorrelation created by spatial and temporal processes. Many of the statistical methods used to account for autocorrelation…