Computational Statistics by
Geof H. Givens and Jennifer A. Hoeting
Wiley,
2005
A comprehensive text on modern and classical methods of statistical computing and computational statistics with detailed examples and problems drawn from diverse fields including bioinformatics, ecology, medicine, computer vision, and stochastic finance. R code available on book website.
Model
Selection for Geostatistical Models
Authors: Jennifer A. Hoeting, Richard A. Davis, Andrew A. Merton, Sandra E.
Thomspon.
Ecological Applications (2006), 16:1, 87-98
Bayesian
Model Averaging: A Tutorial
Authors: Jennifer A. Hoeting, David Madigan,
Statistical Science (1999) 14:4, 382-417.
Bayesian Model Averaging for Linear
Regression Models
Authors: Adrian E. Raftery, David Madigan, and Jennifer A. Hoeting
Journal of the American Statistical Association, 1997, v. 92, 179-191.
Bayesian
Predictive Simultaneous Variable and Transformation Selection in the Linear
Model
Authors: Jennifer A. Hoeting and Joseph G. Ibrahim
A revised version appeared in Computational Statistics and Data Analysis,
1998, v. 28, 87-103.
CSDA
homepage
Bayesian Variable and Transformation
Selection in Linear Regression
Authors: Jennifer Hoeting, Adrian E. Raftery and David Madigan
Journal of Computational and Graphical Statistics,(2002) 11:3,
485-507.
A Method for Simultaneous Variable
Selection and Outlier Identification in Linear Regression
Authors: Jennifer Hoeting, Adrian E. Raftery and David Madigan
A revised version appeared in Computational Statistics and Data Analysis,
(1996),22, 251-270.
CSDA homepage
Methodology
for Bayesian Model Averaging: An Update
Authors: Jennifer A. Hoeting
Proceedings - Manuscripts of invited paper presentations, International
Biometric Conference, Freiburg, Germany, 2002, 231-240.
Bayesian Model
Averaging
Authors: David Madigan, Adrian E. Raftery, Chris Volinsky, Jennifer Hoeting
A revised version appeared in Integrating Multiple Learned Models
(IMLM-96), P. Chan,
A
Clipped Latent-Variable Model for Spatially Correlated Ordered Categorical Data
Authors: M. D. Higgs and J. A. Hoeting
(2010)
To appear in Computational Statistics and Data Analysis, DOI 10.1016/j.csda.2010.02.024
Spatial
Designs and Properties of Spatial Correlation: Effects on Covariance Estimation
Authors: K. Irvine, A. I. Gitelman, and J. A. Hoeting
Journal of Agricultural, Biological and Environmental Statistics (2007),12:4,450-469.
JABES homepage
Model
Selection for Geostatistical Models
Authors: J. A. Hoeting, R. A. Davis, A. A. Merton, S. E. Thomspon.
Ecological Applications (2006), 16:1, 87-98
Some
Perspectives on Modeling Species Distributions
Discussion of article by A. E. Gelfand, J. A. Silander, S. Wu, A. Latimer, P.
O. Lewis, A. G. Rebelo, M. Holder
Author: Jennifer A. Hoeting
Bayesian Analysis,
2006, 1:1, 93-98.
Factors
Affecting Species Distribution Predictions: A Simulation Modeling Experiment
Authors: G. C. Reese, K. R. Wilson, J. A. Hoeting, C. H. Flather
Ecological Applications, 2005
An Improved Model for Spatially
Correlated Binary Responses
Authors: Jennifer A. Hoeting, Molly Leecaster, David Bowden
Journal of Agricultural, Biological and Environmental Statistics (2000)
5:1, 102-114
Authors: Mary C. Meyer, Jennifer A. Hoeting, and Amber Hackstadt (2009).
Submitted
Bayesian
analysis of abundance for binomial sighting data with unknown number of marked
individuals
Authors: B. T. McClintock and J. A. Hoeting
Ecological and Environmental Statistics, DOI 10.1007/s10651-009-0109-0 (online until print version is published).
Biological
monitoring: A Bayesian Model for Multivariate Compositional Data
Authors: D. S. Johnson, J. A. Hoeting, and N. L. Poff
Bayesian Statistics and its Applications, Eds. S. K. Upadhyay, U.
Singh and D. K. Dey.
Anamaya publishers:
Random Effects
Graphical Models for Multiple Site Sampling
Authors: Devin Johnson and Jennifer A. Hoeting
CSU Technical Report 2003/15
Autoregressive Models for
Capture-Recaputure Data: A Bayesian Approach
Authors: Devin S. Johnson and Jennifer A. Hoeting
Biometrics, 2003, vol 59, 340-349
Transform Estimation of Parameters
for Stage-Frequency Data
Authors: J. A. Hoeting, R. L. Tweedie, C.S. Olver
Journal of American Statistical Association 98:463, 503-514.
Empirical
Transform Estimation of Parameters in the Monomolecular Growth Model
Authors: Devin S. Johnson, Jennifer A. Hoeting, Richard L. Tweedie
Technical Report 2001-3, Department of Statistics, Colorado State University.
Linking
Chronic Wasting Disease to Mule Deer Movement Scales: A Hierarchical Bayesian
Approach
Authors: M. L. Farnsworth, J. A. Hoeting. N. T. Hobbs, M. W. Miller
Ecological Applications, 2006
Interdisciplinary
Irrigated Precision Farming Research
Authors: Heermann, D.F., J. A. Hoeting, S. E. Thompson, et al.
Precision Agriculture, 2002
Predicting
Colorado River Sandbar Size Using Glen Canyon Dam Release Characteristics
Final Report for the National Park Service
Authors: Jennifer A. Hoeting, Kristina Varga, Brian Cluer
Submitted to National Park Service
Date: Jan 1997
Sandbars in the Colorado River: an
Environmental ConsultingProject
Author: Jennifer A. Hoeting
Statistical Science, 13, 9-13
Date: 1998
Are the
fish safe to eat? Assessing mercury levels in Maine lakes (a case study)
Authors: Jennifer Hoeting and Anthony R. Olsen
Statistical Case Studies: A Collaboration Between Academe and Industry,
1998,
R. Peck, L. Haugh, A. Goodman, editors, pages 1-6. ASA-SIAM.
Computational Statistics and Data Analysis
Journal of Agricultural, Biological, and Environmental Statistics (JABES)