Mevin Hooten

Mevin Hooten

Professor, Department of Statistics and Data Sciences, The University of Texas at Austin; ASA Fellow

Recent News:

  • New paper accepted in Biometrics:

Lu, X., M.B. Hooten, A.M. Raiho, D.K. Swanson, C.A. Roland, and S.E. Stehn. (In Press). Latent trajectory models for spatio-temporal dynamics in Alaskan ecosystems. Biometrics.

  • New paper accepted at Frontiers:

Eisaguirre, J.M., P.J. Williams, X. Lu, M.L. Kissling, P.A. Schuette, B.P. Weitzman, W.S. Beatty, G.G. Esslinger, J.N. Womble, and M.B. Hooten. (In Press). Informing management of recovering predators and their prey with ecological diffusion models. Frontiers in Ecology and the Environment.

  • New paper in Biometrics:

Scharf, H.R., A. Raiho, S. Pugh, C.A. Roland, D.K. Swanson, S.E. Stehn, and M.B. Hooten. (2022). Multivariate Bayesian clustering using covariate-informed components with application to boreal vegetation sensitivity. Biometrics, 78: 1427-1440.

  • New paper in Environmetrics:

Wright, W.J., P.N. Neitlich, A.E. Shiel, and M.B. Hooten. (2022). Mechanistic spatial models for heavy metal pollution. Environmetrics, 33: e2760.

  • New paper in JABES:

Lu, X., M.B. Hooten, A. Kaplan, J.N. Womble, and M.R. Bower. (2022). Improving wildlife population inference from aerial imagery data through entity resolution. Journal of Agricultural, Biological, and Environmental Statistics, 27: 364-381.

  • New paper in Spatial Statistics:

Okasaki, C., M.B. Hooten, and A.M. Berdahl. (2022). Source reconstruction for spatio-temporal physical statistical models. Spatial Statistics, 52: 100707.

  • New paper in ISR:

Scharf, H.R., X. Lu, P.J. Williams, and M.B. Hooten. (2022). Constructing flexible, identifiable, and interpretable statistical models for binary data. International Statistical Review, 90: 328-345.