You are here
Ephraim M. Hanks
Spatio-Temporal Statistics. Bayesian Hierarchical Modeling. Optimal Sampling. Animal Movement. Landscape Genetics.
JC Russell, EM Hanks, M Haran. A spatially-varying stochastic differential equation model for animal movement. arXiv preprint arXiv:1603.07630.
JM Ver Hoef, EE Peterson, MB Hooten, EM Hanks, MJ Fortin. Spatial autoregressive models for ecological inference. In review.
EM Hanks. A constructive spatio-temporal approach to modeling spatial covariance. In review.
TJ Hefley, MB Hooten, EM Hanks, RE Russell, DP Walsh. The Bayesian group lasso for confounded spatial data. Journal of Agricultural, Biological and Environmental Statistics 22 (1), 42-59.
E Sola-Gracia, C de Bekkar, J Russell, K Manlove, EM Hanks, DP Hughes. Within the fortress: a specialized parasite of ants is not evicted. In review.
RG Loreto, EM Hanks, SL Elliot, DP Hughes. Hitting the highway: ant trails are the final destination of manipulative fungus. In review.
EM Hanks, MB Hooten, ST Knick, SJ Oyler-McCance, JA Fike, TB Cross, MK Schwartz. 2016. Latent spatial models and sampling design for landscape genetics.The Annals of Applied Statistics 10 (2), 1041-1062.
JC Russell, EM Hanks, M Haran. 2016. Dynamic models of animal movement with spatial point process interactions. Journal of Agricultural, Biological, and Environmental Statistics 21(1), 22-40.
BM Brost, MB Hooten, E.M. Hanks, RJ Small. 2015. Animal movement constraints improve resource selection inference in the presence of telemetry error. Ecology 96:2590-2597.
LE Quevillon, E.M. Hanks, S Bansal, DP Hughes. 2015. Social, spatial, and temporal organization in a complex insect society. Scientific Reports (in press).
E.M. Hanks, MB Hooten, MW Alldredge. 2015. Continuous-Time, Discrete-Space Models of Animal Movement. The Annals of Applied Statistics 9(1):145-165.
E.M. Hanks, EM Schliep, MB Hooten, JA Hoeting. 2015. Restricted spatial regression in practice: geostatistical models, confounding, and robustness under model misspecification. Environmetrics 26(4): 243-254
MB Hooten, EM Hanks, DS Johnson, MW Alldredge. 2015. Temporal variation and scale in movement-based resource selection functions. Statistical Methodology 17: 82-98.
Hanks, E.M., M.B. Hooten. 2013. Circuit Theory and Model-Based Inference for Landscape Connectivity. Journal of the American Statistical Association. 108:22-33.
MB Hooten, EM Hanks, DS Johnson, MW Alldredge. Reconciling resource utilization and resource selection functions. Journal of Animal Ecology. 82(6), 1146-1154
Hanks, E.M., 2013. Statistical models for animal movement and landscape connectivity. PhD Dissertation. Colorado State University.
Hanks, E.M., M.B. Hooten, D.S. Johnson, and J.T. Sterling. 2012. Velocity-based movement modeling for individual and population level inference. PLoS ONE. 6(8), e22795
Hanks, E.M., M.B. Hooten, and M.W. Alldredge. 2012. Continuous-Time, Discrete-Space Models of Animal Movement. Journal of Agricultural, Biological, and Environmental Statistics. In Review
Hanks, E.M., M.B. Hooten, and F.A. Baker. 2011. Reconciling multiple data sources to improve accuracy of large-scale prediction of forest disease incidence. Ecological Applications. 21(4):1173-1188.
Hooten, M.B., D.S. Johnson, E.M. Hanks , and J.H. Lowry. 2010. Agent-based inference for animal movement and selection. Journal of Agricultural, Biological, and Environmental Statistics. 15:523-538.
Hanks, E.M., M.B. Hooten, and K.E. Mock. 2010. Model-based approaches for characterizing environmental effects on spatial genetic flow. In JSM Proceeding, Section on Statistics and the Environment. Alexandria, VA: American Statistical Association. pp4113-4126.