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 Sars Virus Ecology Population Autocorrelation Epidemics Connectivity Resource Selection Continuous Time Single Nucleotide Polymorphism Generalized Linear Mixed Model Power Plant Geostatistics Vaccines Ecosystem Model Based Infectious Diseases Modeling

Most Recent Publications

Thu Nguyen Anh Tran, Nathan B. Wikle, Fuhan Yang, Haider Inam, Scott Leighow, Bethany Gentilesco, Philip Chan, Emmy Albert, Emily R. Strong, Justin R. Pritchard, William P. Hanage, Ephraim M. Hanks, Forrest W. Crawford, Maciej F. Boni, 2022, JAMA network open on p. E2214171

Nathan B. Wikle, Thu Tran, Thu Nguyen-Anh Tran, Emily Strong, Bethany Gentilesco, Ephraim Hanks, 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, Maciej F. Boni, 2022, Science advances on p. eabf9868

A flexible movement model for partially migrating species

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

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

Thu Nguyen Anh Tran, Nathan B. Wikle, Emily Strong, 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

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

Sahar Zarmehri, Ephraim Zarmehri, Ephraim 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

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

Most-Cited Papers

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

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

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

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

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

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

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