Ephraim M. Hanks

Associate Professor of Statistics

Ephraim M. Hanks

Research Summary

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

Huck Affiliations

Publication Tags

Animals Model Spatial Data Telemetry Movement Sampling Prediction Animal Ecology Autocorrelation Connectivity Resource Selection Continuous Time Epidemics Single Nucleotide Polymorphism Generalized Linear Mixed Model Power Plant Sars Virus Geostatistics Machine Learning Ecosystem Model Based Communicable Diseases Infectious Diseases Population

Most Recent Papers

A Mechanistic Model of Annual Sulfate Concentrations in the United States

Nathan B. Wikle, Ephraim M. Hanks, Lucas R.F. Henneman, Corwin M. Zigler, 2022, Journal of the American Statistical Association

SARS-CoV-2 epidemic after social and economic reopening in three U.S. states reveals shifts in age structure and clinical characteristics

Nathan B. Wikle, Thu Nguyen-Anh Tran, Bethany Gentilesco, Scott M. Leighow, Emmy Albert, Emily R. Strong, Karel Brinda, Haider Inam, Fuhan Yang, Sajid Hossain, Philip Chan, William P. Hanage, Maria Messick, Justin R. Pritchard, Ephraim M. Hanks, Maciej F. Boni, 2022, Science advances

A flexible movement model for partially migrating species

Elizabeth Eisenhauer, Ephraim Mont Hanks, Matthew Beckman, Robert Murphy, Tricia Miller, Todd Katzner, 2022, Spatial Statistics

Optimal SARS-CoV-2 vaccine allocation using real-time attack-rate estimates in Rhode Island and Massachusetts

Thu Nguyen Anh Tran, Nathan B. Wikle, Emmy Albert, Haider Inam, Emily Strong, Karel Brinda, Scott M. Leighow, Fuhan Yang, Sajid Hossain, Justin R. Pritchard, Philip Chan, William P. Hanage, Ephraim M. Hanks, Maciej F. Boni, 2021, BMC Medicine

Social fluidity mobilizes contagion in human and animal populations

Ewan Colman, Vittoria Colizza, Ephraim M. Hanks, David P. Hughes, Shweta Bansal, 2021, eLife

A Sample Covariance-Based Approach For Spatial Binary Data

Sahar Zarmehri, Ephraim M. Hanks, Lin Lin, 2021, Journal of Agricultural, Biological, and Environmental Statistics

A novel quantitative framework for riverscape genetics

Shannon L. White, Ephraim M. Hanks, Tyler Wagner, 2020, Ecological Applications

A lattice and random intermediate point sampling design for animal movement

Elizabeth Eisenhauer, Ephraim Hanks, 2020, Environmetrics

Ecological prediction at macroscales using big data: Does sampling design matter?

Patricia A. Soranno, Kendra Spence Cheruvelil, Boyang Liu, Qi Wang, Pang Ning Tan, Jiayu Zhou, Katelyn B.S. King, Ian M. McCullough, Jemma Stachelek, Meridith Bartley, Christopher T. Filstrup, Ephraim M. Hanks, Jean François Lapierre, Noah R. Lottig, Erin M. Schliep, Tyler Wagner, Katherine E. Webster, 2020, Ecological Applications

Machine learning for modeling animal movement

Dhanushi A. Wijeyakulasuriya, Elizabeth W. Eisenhauer, Benjamin A. Shaby, Ephraim M. Hanks, 2020, PLoS One

Most-Cited Papers

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

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

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

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

Hierarchical animal movement models for population-level inference

Mevin B. Hooten, Frances E. Buderman, Brian M. Brost, Ephraim M. Hanks, Jacob S. Ivan, 2016, Environmetrics on p. 322-333

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

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

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

The Bayesian Group Lasso for Confounded Spatial Data

Trevor J. Hefley, Mevin B. Hooten, Ephraim M. Hanks, Robin E. Russell, Daniel P. Walsh, 2017, Journal of Agricultural, Biological, and Environmental Statistics on p. 42-59