Ephraim M. Hanks
Title
Cited by
Cited by
Year
Restricted spatial regression in practice: geostatistical models, confounding, and robustness under model misspecification
EM Hanks, EM Schliep, MB Hooten, JA Hoeting
Environmetrics 26 (4), 243-254, 2015
852015
Agent-based inference for animal movement and selection
MB Hooten, DS Johnson, EM Hanks, JH Lowry
Journal of Agricultural, Biological and Environmental Statistics 15 (4), 523-538, 2010
662010
Spatial statistics: analysis of field experiments
JM Ver Hoef, N Cressie
Design and analysis of ecological experiments, 319-341, 1993
611993
Continuous-time discrete-space models for animal movement
EM Hanks, MB Hooten, MW Alldredge
The Annals of Applied Statistics 9 (1), 145-165, 2015
562015
Velocity-based movement modeling for individual and population level inference
EM Hanks, MB Hooten, DS Johnson, JT Sterling
PLoS One 6 (8), 2011
562011
Spatial autoregressive models for statistical inference from ecological data
JM Ver Hoef, EE Peterson, MB Hooten, EM Hanks, MJ Fortin
Ecological Monographs 88 (1), 36-59, 2018
462018
Reconciling resource utilization and resource selection functions
MB Hooten, EM Hanks, DS Johnson, MW Alldredge
Journal of Animal Ecology 82 (6), 1146-1154, 2013
452013
Animal movement constraints improve resource selection inference in the presence of telemetry error
BM Brost, MB Hooten, EM Hanks, RJ Small
Ecology 96 (10), 2590-2597, 2015
402015
Circuit Theory and Model-Based Inference for Landscape Connectivity
EM Hanks, MB Hooten
Journal of the American Statistical Association 108 (501), 22-33, 2013
352013
Hierarchical animal movement models for population‐level inference
MB Hooten, FE Buderman, BM Brost, EM Hanks, JS Ivan
Environmetrics 27 (6), 322-333, 2016
312016
Social, spatial, and temporal organization in a complex insect society
LE Quevillon, EM Hanks, S Bansal, DP Hughes
Scientific reports 5, 13393, 2015
282015
Temporal variation and scale in movement-based resource selection functions
MB Hooten, EM Hanks, DS Johnson, MW Alldredge
Statistical Methodology 17, 82-98, 2014
262014
Reconciling multiple data sources to improve accuracy of large‐scale prediction of forest disease incidence
EM Hanks, MB Hooten, FA Baker
Ecological applications 21 (4), 1173-1188, 2011
242011
Dynamic models of animal movement with spatial point process interactions
JC Russell, EM Hanks, M Haran
Journal of agricultural, biological, and environmental statistics 21 (1), 22-40, 2016
202016
The Bayesian group lasso for confounded spatial data
TJ Hefley, MB Hooten, EM Hanks, RE Russell, DP Walsh
Journal of Agricultural, Biological and Environmental Statistics 22 (1), 42-59, 2017
192017
On the relationship between conditional (CAR) and simultaneous (SAR) autoregressive models
JM Ver Hoef, EM Hanks, MB Hooten
Spatial statistics 25, 68-85, 2018
172018
Dynamic spatio-temporal models for spatial data
TJ Hefley, MB Hooten, EM Hanks, RE Russell, DP Walsh
Spatial statistics 20, 206-220, 2017
142017
A spatially varying stochastic differential equation model for animal movement
JC Russell, EM Hanks, M Haran, D Hughes
The Annals of Applied Statistics 12 (2), 1312-1331, 2018
132018
Estimating animal utilization densities using continuous‐time Markov chain models
K Wilson, E Hanks, D Johnson
Methods in Ecology and Evolution 9 (5), 1232-1240, 2018
112018
Modeling collective animal movement through interactions in behavioral states
JC Russell, EM Hanks, AP Modlmeier, DP Hughes
Journal of Agricultural, Biological and Environmental Statistics 22 (3), 313-334, 2017
102017
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