Ephraim M. Hanks

Ephraim M. Hanks

Associate Professor of Statistics

Most Recent Papers

Bayesian analysis of spatial generalized linear mixed models with Laplace moving average random fields

Adam Walder, Ephraim M. Hanks, 2020, Computational Statistics and Data Analysis

A Dynamic Individual-Based Model for High-Resolution Ant Interactions

Nathan B. Wikle, Ephraim M. Hanks, David P. Hughes, 2019, Journal of Agricultural, Biological, and Environmental Statistics on p. 589-609

Spatially structured statistical network models for landscape genetics

Erin E. Peterson, Ephraim M. Hanks, Mevin B. Hooten, Jay M. Ver Hoef, Marie Josée Fortin, 2019, Ecological Monographs

Ant colonies maintain social homeostasis in the face of decreased density

Andreas P. Modlmeier, Ewan Colman, Ephraim M. Hanks, Ryan Bringenberg, Shweta Bansal, David P. Hughes, 2019, eLife

Extreme Value-Based Methods for Modeling Elk Yearly Movements

Dhanushi A. Wijeyakulasuriya, Ephraim Mont Hanks, Benjamin Adam Shaby, Paul C. Cross, 2019, Journal of Agricultural, Biological, and Environmental Statistics on p. 73-91

Effects of two centuries of global environmental variation on phenology and physiology of Arabidopsis thaliana

Victoria L. DeLeo, Duncan N.L. Menge, Ephraim M. Hanks, Thomas E. Juenger, Jesse R. Lasky, 2019, Global Change Biology

Time-varying predatory behavior is primary predictor of fine-scale movement of wildland-urban cougars

Frances E. Buderman, Mevin B. Hooten, Mathew W. Alldredge, Ephraim M. Hanks, Jacob S. Ivan, 2018, Movement Ecology

A spatially varying stochastic differential equation model for animal movement

James C. Russell, Ephraim M. Hanks, Murali Haran, David Hughes, 2018, Annals of Applied Statistics on p. 1312-1331

On the relationship between conditional (CAR) and simultaneous (SAR) autoregressive models

Jay M. Ver Hoef, Ephraim M. Hanks, Mevin B. Hooten, 2018, Spatial Statistics on p. 68-85

Estimating animal utilization densities using continuous-time Markov chain models

Kenady Wilson, Ephraim Hanks, Devin Johnson, 2018, Methods in Ecology and Evolution on p. 1232-1240

Recent Most-Cited Papers

Velocity-Based movement modeling for individual and population level inference

Ephraim M. Hanks, Mevin B. Hooten, Devin S. Johnson, Jeremy T. Sterling, 2011, PloS one

Continuous-time discrete-space models for animal movement

Ephraim M. Hanks, Mevin B. Hooten, Mat W. Alldredge, 2015, Annals of Applied Statistics on p. 145-165

Spatial autoregressive models for statistical inference from ecological data

Jay M. Ver Hoef, Erin E. Peterson, Mevin B. Hooten, Ephraim M. Hanks, Marie Josèe Fortin, 2018, Ecological Monographs on p. 36-59

Animal movement constraints improve resource selection inference in the presence of telemetry error

Brian M. Brost, Mevin B. Hooten, Ephraim M. Hanks, Robert J. Small, 2015, Ecology on p. 2590-2597

Social, spatial, and temporal organization in a complex insect society

Lauren E. Quevillon, Ephraim M. Hanks, Shweta Bansal, David P. Hughes, 2015, Scientific reports

Temporal variation and scale in movement-based resource selection functions

M. B. Hooten, E. M. Hanks, D. S. Johnson, M. W. Alldredge, 2014, Statistical Methodology on p. 82-98

Dynamic Models of Animal Movement with Spatial Point Process Interactions

James C. Russell, Ephraim M. Hanks, Murali Haran, 2016, Journal of Agricultural, Biological, and Environmental Statistics on p. 22-40

Dynamic spatio-temporal models for spatial data

Trevor J. Hefley, Mevin B. Hooten, Ephraim M. Hanks, Robin E. Russell, Daniel P. Walsh, 2017, Spatial Statistics on p. 206-220

Latent spatial models and sampling design for landscape genetics

Ephraim M. Hanks, Mevin B. Hooten, Steven T. Knick, Sara J. Oyler-McCance, Jennifer A. Fike, Todd B. Cross, Michael K. Schwartz, 2016, Annals of Applied Statistics on p. 1041-1062

Modeling Collective Animal Movement Through Interactions in Behavioral States

James C. Russell, Ephraim M. Hanks, Andreas P. Modlmeier, David P. Hughes, 2017, Journal of Agricultural, Biological, and Environmental Statistics on p. 313-334