activity
20142022
most citedDynamic social networks based on movement

45 citations · 49 across the 7 of their papers we have counts for

collaborators

8 papers

stat.ME2022★ 1 cited

Detecting changes in dynamic social networks using multiply-labeled movement data

Zaineb L. Boulil, John W. Durban, Holly Fearnbach +3

The social structure of an animal population can often influence movement and inform researchers on a species' behavioral tendencies. Animal social networks can be studied through…

stat.ME2019★ 2 cited

Hierarchical approaches for flexible and interpretable binary regression models

Henry R. Scharf, Xinyi Lu, Perry J. Williams +1

Binary regression models are ubiquitous in virtually every scientific field. Frequently, traditional generalized linear models fail to capture the variability in the probability su…

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.ME2018

Accounting for phenology in the analysis of animal movement

Henry R. Scharf, Mevin B. Hooten, Ryan R. Wilson +2

The analysis of animal tracking data provides an important source of scientific understanding and discovery in ecology. Observations of animal trajectories using telemetry devices…

stat.ME2017

Imputation Approaches for Animal Movement Modeling

Henry R. Scharf, Mevin B. Hooten, Devin S. Johnson

The analysis of telemetry data is common in animal ecological studies. While the collection of telemetry data for individual animals has improved dramatically, the methods to prope…

stat.AP2016★ 1 cited

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…