Ephraim M. Hanks
Associate Professor of Statistics
- W-250 Millennium Science Complex
- He/Him
- emh30@psu.edu
- 814-865-2956
Research Summary
Spatio-Temporal Statistics. Bayesian Hierarchical Modeling. Optimal Sampling. Animal Movement. Landscape Genetics.
Huck Affiliations
Publication Tags
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Animals Model Telemetry Movement Population Level Prediction Sars Virus Autocorrelation Spatial Data Resource Selection Lynx Canadensis Animal Machine Learning Continuous Time Statistical Approach Geostatistics Temporal Variation Power Plant Random Walk Pathogens Statistical Procedure Epidemics Vaccines Statistical Models ModelingMost Recent Publications
A practical guide to understanding and validating complex models using data simjulations
Grace DiRenzo, Ephraim Hanks, D Miller, Methods in Ecology and Evolution on p. 203-217
Modeling First Arrival of Migratory Birds Using a Hierarchical Max-Infinitely Divisible Process
Dhanushi A. Wijeyakulasuriya, Ephraim M. Hanks, Benjamin Adam Shaby, 2024, Journal of Agricultural, Biological, and Environmental Statistics
A continuous classification of the 476,697 lakes of the conterminous US based on geographic archetypes
Jean Francois Lapierre, Katherine E. Webster, Ephraim M. Hanks, Tyler Wagner, Patricia A. Soranno, Ian M. McCullough, Kaitlin L. Reinl, Marcella Domka, Noah R. Lotting, 2023, Limnology and Oceanography on p. 2759-2773
A combination of annual and nonannual forces drive respiratory disease in the tropics
Fuhan Yang, Joseph L. Servadio, Nguyen Thi Le Thanh, Ha Minh Lam, Marc Choisy, Pham Quang Thai, Tran Thi Nhu Thao, Nguyen Ha Thao Vy, Huynh Thi Phuong, Tran Dang Nguyen, Dong Thi Hoai Tam, Ephraim M. Hanks, Ha Vinh, Ottar N. Bjornstad, Nguyen Van Vinh Chau, Maciej F. Boni, 2023, BMJ Global Health
A practical guide to understanding and validating complex models using data simulations
Graziella V. DiRenzo, Ephraim Hanks, David A.W. Miller, 2023, Methods in Ecology and Evolution on p. 203-217
SARS-CoV-2 Attack Rate and Population Immunity in Southern New England, March 2020 to May 2021
T Tran, N Wikle, F Yang, H Inam, S Leighow, B Gentilesco, P Chan, E Albert, E Strong, Justin R. Pritchard, W Hanage, Ephraim Hanks, F Crawford, Maciej F. Boni, 2022, JAMA network open on p. e2214171
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 on p. 1082-1093
A flexible movement model for partially migrating species
Elizabeth Eisenhauer, Ephraim Hanks, Matthew Beckman, Robert Murphy, Tricia Miller, Todd Katzner, 2022, Spatial Statistics
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 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
Optimal SARS-CoV-2 vaccine allocation using real-time attack-rate estimates in Rhode Island and Massachusetts
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
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
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
Confronting models with data: The challenges of estimating disease spillover
Paul C. Cross, Diann J. Prosser, Andrew M. Ramey, Ephraim M. Hanks, Kim M. Pepin, 2019, Philosophical Transactions of the Royal Society B: Biological Sciences
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
Machine learning for modeling animal movement
Dhanushi A. Wijeyakulasuriya, Elizabeth W. Eisenhauer, Benjamin A. Shaby, Ephraim M. Hanks, 2020, PLoS One
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