Jennifer Hoeting Professor

Office: Statistics Building 209

Phone: (970) 491-2897


Curriculum Vitae:

Google Scholar:


  • Ph.D., Statistics, University of Washington, 1994
  • M.S., Statistics, University of Washington, 1991
  • B.S., Statistics and Psychology, University of Michigan, 1988


Professor Jennifer Hoeting's research is focused in the areas of Bayesian statistics, spatial statistics, and model selection and uncertainty.  Much of her research is aimed at developing new statistical methods to address problems in ecology.   Hoeting is the founding editor of the journal Advances in Statistical Climatology, Meteorology and Oceanography (ASCMO).   Hoeting's book, Computational Statistics (co-authored by Geof Givens), has been adopted as a textbook at top universities in the US and in over 25 other countries.  Hoeting has been advisor to more than 30 PhD and MS students.  Hoeting is an elected Fellow of the American Statistical Association (ASA) and received the Distinguished Achievement Medal from the ASA’s Section on Statistics and the Environment. In 2015 she was named Professor Laureate of the College of Natural Sciences at Colorado State University.   


Computational StatisticsGivens, Geof H. and Jennifer A. HoetingWiley & Sons, 2nd edition, 469 pages, 2013
Bayesian Model Averaging: A Tutorial (with discussion)Hoeting, J. A., D. Madigan, A. E. Raftery, and C. T. VolinskyStatistical Science, 14:4, 382-417, 1999
Bayesian model averaging for linear regression modelsAE Raftery, D Madigan, JA HoetingJournal of the American Statistical Association 92 (437), 179-191, 1997
A penalized simulated maximum likelihood approach in parameter estimation for stochastic differential equationsL Sun, C Lee, JA HoetingComputational Statistics & Data Analysis 84, 54-67, 2015
A structured and dynamic framework to advance traits-based theory and prediction in ecologyCT Webb, JA Hoeting, GM Ames, MI Pyne, N LeRoy PoffEcology Letters 13 (3), 267-283, 2010
A clipped latent variable model for spatially correlated ordered categorical dataMD Higgs, JA HoetingComputational Statistics & Data Analysis 54 (8), 1999-2011, 2010
Spatial designs and properties of spatial correlation: Effects on covariance estimationKathryn M Irvine, Alix I Gitelman, Jennifer A HoetingJournal of Agricultural, Biological, and Environmental Statistics, 12(4), 450-469, 2007
Autoregressive Models for Capture?Recapture Data: A Bayesian ApproachDevin S Johnson, Jennifer A HoetingBiometrics 59 (2), 341-350, 2003
An improved model for spatially correlated binary responsesJA Hoeting, M Leecaster, D BowdenJournal of Agricultural, Biological, and Environmental Statistics, 102-114, 2000