Ephraim M. Hanks

Ephraim M. Hanks

Assistant Professor of Statistics

Bio

Spatio-Temporal Statistics. Bayesian Hierarchical Modeling. Optimal Sampling. Animal Movement. Landscape Genetics.

Most Recent Papers

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

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

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

Examining speed versus selection in connectivity models using elk migration as an example

Angela Brennan, Ephraim M. Hanks, Jerod A. Merkle, Eric K. Cole, Sarah R. Dewey, Alyson B. Courtemanch, Paul C. Cross, 2018, Landscape Ecology on p. 1-14

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

Within the fortress

Emilia Solá Gracia, Charissa De Bekker, Ephraim M. Hanks, David P. Hughes, 2018, PloS one

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

Reflected Stochastic Differential Equation Models for Constrained Animal Movement

Ephraim M. Hanks, Devin S. Johnson, Mevin B. Hooten, 2017, Journal of Agricultural, Biological, and Environmental Statistics on p. 353-372

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

Modeling Spatial Covariance Using the Limiting Distribution of Spatio-Temporal Random Walks

Ephraim M. Hanks, 2017, Journal of the American Statistical Association on p. 497-507

Recent High-Impact Papers

Agent-based inference for animal movement and selection

Mevin B. Hooten, Devin S. Johnson, Ephraim M. Hanks, John H. Lowry, 2010, Journal of Agricultural, Biological, and Environmental Statistics on p. 523-538

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

Restricted spatial regression in practice

Ephraim M. Hanks, Erin M. Schliep, Mevin B. Hooten, Jennifer A. Hoeting, 2015, Environmetrics on p. 243-254

Reconciling resource utilization and resource selection functions

Mevin B. Hooten, Ephraim M. Hanks, Devin S. Johnson, Mat W. Alldredge, 2013, Journal of Animal Ecology on p. 1146-1154

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

Circuit theory and model-based inference for landscape connectivity

Ephraim M. Hanks, Mevin B. Hooten, 2013, Journal of the American Statistical Association on p. 22-33

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

Reconciling multiple data sources to improve accuracy of large-scale prediction of forest disease incidence

Ephraim M. Hanks, Mevin B. Hooten, Fred A. Baker, 2011, Ecological Applications on p. 1173-1188

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