Jennifer A. Hoeting

Jennifer A. Hoeting's AcademicInfluence.com Rankings

Jennifer A. Hoeting

Mathematics

#6789

World Rank

#9339

Historical Rank

Statistics

#694

World Rank

#780

Historical Rank

mathematics Degrees

Download Badge

Mathematics

Jennifer A. Hoeting's Degrees

PhD Statistics Colorado State University
Masters Statistics Colorado State University
Bachelors Mathematics University of California, Davis

Similar Degrees You Can Earn

Best Online Bachelor's in Math 2025

Why Is Jennifer A. Hoeting Influential?

(Suggest an Edit or Addition)

According to Wikipedia, Jennifer Ann Hoeting is an American statistician known for her work with Adrian Raftery, David Madigan, and others on Bayesian model averaging. She is a professor of statistics at Colorado State University, and executive editor of the open-access journal Advances in Statistical Climatology, Meteorology and Oceanography, published by Copernicus Publications. With Geof H. Givens, a colleague at Colorado State, she is the author of Computational Statistics , a graduate textbook on computational methods in statistics.

(See a Problem?)

Jennifer A. Hoeting's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Bayesian model averaging: a tutorial (with comments by M. Clyde, David Draper and E. I. George, and a rejoinder by the authors (1999) (3287)
Bayesian Model Averaging: A Tutorial (2016) (2028)
Bayesian Model Averaging for Linear Regression Models (1997) (1676)
A structured and dynamic framework to advance traits-based theory and prediction in ecology. (2010) (471)
Model selection for geostatistical models. (2006) (187)
A method for simultaneous variable selection and outlier identification in linear regression (1996) (145)
FACTORS AFFECTING SPECIES DISTRIBUTION PREDICTIONS: A SIMULATION MODELING EXPERIMENT (2005) (138)
An Improved Model for Spatially Correlated Binary Responses (2000) (134)
Restricted spatial regression in practice: geostatistical models, confounding, and robustness under model misspecification (2015) (126)
Correction to: ``Bayesian model averaging: a tutorial'' [Statist. Sci. 14 (1999), no. 4, 382--417; MR 2001a:62033] (2000) (116)
The area under the precision‐recall curve as a performance metric for rare binary events (2019) (89)
A comparison study of extreme precipitation from six different regional climate models via spatial hierarchical modeling (2010) (77)
Linking chronic wasting disease to mule deer movement scales: a hierarchical Bayesian approach. (2006) (77)
The importance of accounting for spatial and temporal correlation in analyses of ecological data. (2009) (66)
Computational Statistics: Givens/Computational Statistics (2012) (62)
Bayesian Variable and Transformation Selection in Linear Regression (2002) (61)
A clipped latent variable model for spatially correlated ordered categorical data (2010) (51)
Projected wetland densities under climate change: habitat loss but little geographic shift in conservation strategy. (2016) (49)
MODEL SELECTION AND ACCOUNTING FOR MODEL UNCERTAINTY IN LINEAR REGRESSION MODELS (2007) (48)
Spatial designs and properties of spatial correlation: Effects on covariance estimation (2007) (46)
Inferring infection hazard in wildlife populations by linking data across individual and population scales (2017) (44)
Autoregressive Models for Capture‐Recapture Data: A Bayesian Approach (2003) (43)
Handbook of Environmental and Ecological Statistics (2019) (42)
Bayesian estimation and inference for generalised partial linear models using shape-restricted splines (2011) (37)
Interdisciplinary Irrigated Precision Farming Research (2002) (30)
Multilevel Latent Gaussian Process Model for Mixed Discrete and Continuous Multivariate Response Data (2012) (28)
Methodology for Bayesian Model Averaging: An Update (2002) (27)
Parameter inference and model selection in deterministic and stochastic dynamical models via approximate Bayesian computation: modeling a wildlife epidemic (2014) (23)
Identification of migratory bird flyways in North America using community detection on biological networks. (2016) (22)
A Review of Nonparametric Hypothesis Tests of Isotropy Properties in Spatial Data (2015) (20)
Simultaneous Variable and Transformation Selection in Linear Regression (1995) (19)
Bayesian predictive simultaneous variable and transformation selection in the linear model (1998) (19)
Integrating population- and individual-level information in a movement model of Yellowstone bison. (2014) (19)
Bayesian Modeling of Prion Disease Dynamics in Mule Deer Using Population Monitoring and Capture-Recapture Data (2015) (18)
Transform Estimation of Parameters for Stage-Frequency Data (2003) (18)
Bayesian analysis of abundance for binomial sighting data with unknown number of marked individuals (2010) (16)
AGE AND REPEATED BIOPSY INFLUENCE ANTEMORTEM PRPCWD TESTING IN MULE DEER (ODOCOILEUS HEMIONUS) IN COLORADO, USA (2015) (15)
Bayesian Multimodel Inference for Geostatistical Regression Models (2011) (14)
Credible regions for exceedance sets of geostatistical data (2016) (14)
Wiley Series in Computational Statistics (2013) (13)
Computational Statistics Ed. 2 (2012) (13)
Anticipating the Prevalence of Avian Influenza Subtypes H9 and H5 in Live-Bird Markets (2013) (12)
Data augmentation and parameter expansion for independent or spatially correlated ordinal data (2015) (12)
A penalized simulated maximum likelihood approach in parameter estimation for stochastic differential equations (2013) (11)
Remote effects spatial process models for modeling teleconnections (2016) (10)
A calibration capture–recapture model for inferring natural gas leak population characteristics using data from Google Street View cars (2018) (9)
Statistics and Data Analysis (1997) (7)
Continental‐scale dynamics of avian influenza in U.S. waterfowl are driven by demography, migration, and temperature (2020) (6)
Linking mosquito surveillance to dengue fever through Bayesian mechanistic modeling (2020) (5)
Bayesian Analysis for Food-Safety Risk Assessment: Evaluation of Dose-Response Functions within WinBUGS (2011) (5)
Approximate Bayesian Inference via Sparse grid Quadrature Evaluation for Hierarchical Models (2019) (5)
Biological Monitoring: A Bayesian Model for Multivariate Compositional Data (2006) (4)
Spatial Variability of Western Bean Cutworm (Lepidoptera: Noctuidae) Pheromone Trap Captures in Sprinkler Irrigated Corn in Eastern Colorado (2011) (4)
Improved Return Level Estimation via a Weighted Likelihood, Latent Spatial Extremes Model (2018) (4)
Multilevel Latent Gaussian Process Model for Mixed Discrete and Continuous Multivariate Response Data (2013) (4)
Multivariate multilevel latent Gaussian process model to evaluate wetland condition (2012) (4)
A Bayesian Approach for Calibrating Risk Assessment Models (2012) (3)
Toward usable predictive climate information at decadal timescales (2021) (2)
Penalized importance sampling for parameter estimation in stochastic differential equations (2013) (2)
A nonparametric spectral domain test of spatial isotropy (2019) (2)
EVALUATION OF PARAMETER AND MODEL UNCERTAINTY IN SIMPLE APPLICATIONS OF A 1 D SEDIMENT TRANSPORT MODEL Submitted (2011) (1)
Optimization and Solving Nonlinear Equations (2013) (1)
Sandbars in the Colorado River : an Environmental Consulting Project (1999) (1)
1. Are the Fish Safe to Eat? Assessing Mercury Levels in Fish in Maine Lakes (1998) (1)
Mapping malaria in the Amazon rain forest: A spatio-temporal mixture model (2018) (1)
The role of geographic information systems in wildlife landscape epidemiology: models of chronic wasting disease in Colorado mule deer. (2007) (1)
Properties of graphical regression models for multidimensional categorical data (2011) (1)
Simulation and Monte Carlo Integration (2013) (1)
Nonparametric Density Estimation (2013) (1)
Editorial Board EOV (2014) (0)
Some perspectives on modeling species distributions (comment on article by Gelfand et al.) (2006) (0)
Optimal design and directional leverage with applications in differential equation models (2011) (0)
Improved Return Level Estimation via a Weighted Likelihood, Latent Spatial Extremes Model (2019) (0)
Title Anticipating the prevalence of avian influenza subtypes H 9 andH 5 in live-bird markets (2013) (0)
Markov Chain Monte Carlo (2013) (0)
Optimal design and directional leverage with applications in differential equation models (2012) (0)
Measuring, monitoring, and forecasting progress toward sustainability (2011) (0)
Factors that influence aerial line transect detection of BeringChukchi-Beaufort Seas bowhead whales (2023) (0)
Editorial Board EOV (2015) (0)
A penalized simulated maximum likelihood method to estimate parameters for SDEs with measurement error (2018) (0)
Integration and Simulation (2013) (0)
Density Estimation and Smoothing (2013) (0)
A penalized simulated maximum likelihood method to estimate parameters for SDEs with measurement error (2018) (0)
Editorial Board EOV (2016) (0)
EM Optimization Methods (2013) (0)
Advanced Topics in MCMC (2013) (0)

This paper list is powered by the following services:

Other Resources About Jennifer A. Hoeting

What Schools Are Affiliated With Jennifer A. Hoeting?

Jennifer A. Hoeting is affiliated with the following schools:

Jennifer A. Hoeting's Academic­Influence.com Rankings