Mevin Hooten Professor

Office: Wagar 201

Phone: (970) 491-1415


Google Scholar:


  • University of Missouri, PhD Statistics


Spatio-temporal statistics for ecological and environmental data using hierarchical models and Bayesian methods.


On the relationship between conditional (CAR) and simultaneous (SAR) autoregressive modelsVer Hoef, J.M., E.M. Hanks, and M.B. HootenSpatial Statistics, 25: 68-85, 2018
Basis function models for animal movementHooten, M.B. and D.S. JohnsonJournal of the American Statistical Association, 112: 578-589, 2017
Hierarchical animal movement models for population-level inferenceHooten, M.B., F.E. Buderman, B.M. Brost, E.M. Hanks, and J.S. IvanEnvironmetrics, 27: 322-333, 2016
Continuous-time discrete-space models for animal movementHanks, E.M., M.B. Hooten, and M. AlldredgeAnnals of Applied Statistics, 9: 145-165, 2015
Temporal variation and scale in movement-based resource selection functionsHooten, M.B., E.M. Hanks, D.S. Johnson, and M.W. AlldredgeStatistical Methodology, 17: 82-98, 2014
Circuit theory and model-based inference for landscape connectivityHanks, E.M. and M.B. HootenJournal of the American Statistical Association, 108: 22-33, 2013
Assessing first-order emulator inference for physical parameters in nonlinear mechanistic modelsHooten, M.B., W.B. Leeds, J. Fiechter, and C.K. WikleJournal of Agricultural, Biological and Environmental Statistics, 16: 475-494, 2011
Statistical agent-based models for discrete spatio-temporal systemsHooten, M.B. and C.K. WikleJournal of the American Statistical Association, 105: 236-248, 2010
Hierarchical spatio-temporal matrix models for characterizing invasionsHooten, M.B., C.K. Wikle, R.M. Dorazio, and J.A. RoyleBiometrics, 63: 558-567, 2007