Office:
Phone: (000) 000-0000
Website: https://www.stat.colostate.edu/~jah
Curriculum Vitae: http://www.stat.colostate.edu/~jah/HoetingCV.pdf
Google Scholar: http://bit.ly/HoetingGoogleScholar
Education
- Ph.D., Statistics, University of Washington, 1994
- M.S., Statistics, University of Washington, 1991
- B.S., Statistics and Psychology, University of Michigan, 1988
About
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.
Publications
- Computational StatisticsWiley & Sons, 2nd edition, 469 pages, 2013
- Bayesian Model Averaging: A Tutorial (with discussion)Statistical Science, 14:4, 382-417, 1999
- Bayesian model averaging for linear regression modelsJournal of the American Statistical Association 92 (437), 179-191, 1997
- Restricted spatial regression in practice: geostatistical models, confounding, and robustness under model misspecificationEnvironmetrics 26 (4), 243-254, 2015
- A penalized simulated maximum likelihood approach in parameter estimation for stochastic differential equationsComputational Statistics & Data Analysis 84, 54-67, 2015
- A structured and dynamic framework to advance traits-based theory and prediction in ecologyEcology Letters 13 (3), 267-283, 2010
- A clipped latent variable model for spatially correlated ordered categorical dataComputational Statistics & Data Analysis 54 (8), 1999-2011, 2010
- Spatial designs and properties of spatial correlation: Effects on covariance estimationJournal of Agricultural, Biological, and Environmental Statistics, 12(4), 450-469, 2007
- Autoregressive Models for Capture?Recapture Data: A Bayesian ApproachBiometrics 59 (2), 341-350, 2003
- An improved model for spatially correlated binary responsesJournal of Agricultural, Biological, and Environmental Statistics, 102-114, 2000
