Trevor J. Hefley

Assistant professor

Department of Statistics 

 Kansas State University

thefley@ksu.edu

 





Welcome to my research website!  Broadly, my research focuses on developing and applying statistical methods to inform wildlife conservation and management decisions. I am also interested in applied statistics, specifically, how other disciplines such as engineering, biology, ecology and computer science utilize the large amounts of data that are currently available for decision making.


Recent News: 

  • February 16, 2017: New paper accepted in Spatial Statistics that develops a framework for using dynamic spatio-temporal models when modeling spatial autocorrelation.
    • Hefley, T.J., M.B. Hooten, E.M. Hanks, R.E. Russell, D.P. Walsh (In press) Dynamic spatio-temporal models for spatial data. Spatial Statistics
  • December 5, 2016: New paper accepted in the Journal of Agricultural, Biological, and Environmental Statistics that uses a group lasso penalty to regularize spatial generalized linear mixed models in the presence of confounding.
    • Hefley, T.J., M.B. Hooten, E.M. Hanks, R.E. Russell, D.P. Walsh (In press) The Bayesian group lasso for confounded spatial data. Journal of Agricultural, Biological, and Environmental Statistics [pdf] [R code]
  • October 24, 2016: New paper accepted in Ecology that reviews spatial and temporal modeling approaches using basis functions: 
    • Hefley, T.J., K.M. Broms, B.M. Brost, F.E. Buderman, S. Kay, H.R. Scharf, J.R. Tipton, P.J. Williams, and M.B. Hooten. (In press) The basis function approach to modeling autocorrelation in ecological data. Ecology
  • October 7, 2016: New paper accepted in Ecology that uses multiple sources of data to model the colonization of otters in Glacier Bay: 
    • Williams, P.J., M.B. Hooten, J.N. Womble, G.G Esslinger, M.R. Bower, T.J. Hefley. (In press) An integrated data model to estimate spatio-temporal occupancy, abundance, and colonization dynamics. Ecology [pdf]