Jennifer A. Hoeting

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Adrian E. RafteryProfessor of Statistics and Sociology, University of WashingtonVerified email at uw.edu
David MadiganProfessor of Statistics, Northeastern UniversityVerified email at northeastern.edu
Chris VolinskyProfessor, NYU Stern School of BusinessVerified email at research.att.com
Colleen WebbColorado State UniversityVerified email at colostate.edu
Geof GivensDirector, Givens Statistical Solutions; Adjunct Prof, UC Santa Cruz; and Fac. Affiliate, Colorado StVerified email at geofgivens.com
Erin SchliepNorth Carolina State UniversityVerified email at ncsu.edu
N LeRoy PoffDist. Univ. Prof. @ Colo. St. U. and Dist. Prof. @ U. CanberraVerified email at lamar.colostate.edu
Mevin HootenProfessor, The University of Texas at AustinVerified email at austin.utexas.edu
Devin JohnsonMathematical Statistician, NOAAVerified email at noaa.gov
Helen SofaerResearch Ecologist at USGSVerified email at usgs.gov
Chihoon LeeStevens Institute of TechnologyVerified email at stevens.edu
Michael BuhnerkempeAssistant Professor, Southern Illinois University School of MedicineVerified email at siumed.edu
Daniel CooleyProfessor of Statistics, Colorado State UniversityVerified email at stat.colostate.edu
Ephraim M. HanksPenn State UniversityVerified email at psu.edu
Curtis H. FlatherUSDA, Forest Service, Rocky Mountain Research StationVerified email at fs.fed.us
Joshua FrenchUniversity of Colorado DenverVerified email at ucdenver.edu
Brett T. McClintockNOAA National Marine Mammal LaboratoryVerified email at noaa.gov
Alexandra M. SchmidtMcGill University, CanadaVerified email at mcgill.ca
Matthew.L.Farnsworth@gmail.comResarch Quantitative Ecologist - Consultant

Jennifer A. Hoeting

Professor Emeritus, Dept of Statistics, Colorado State University

Verified email at rams.colostate.edu - Homepage

Ecological statistics Bayesian methods Consulting


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Bayesian model averaging: a tutorial (with comments by M. Clyde, David Draper and EI George, and a rejoinder by the authors JA Hoeting, D Madigan, AE Raftery, CT Volinsky Statistical science 14 (4), 382-417, 1999	6049	1999
Bayesian model averaging for linear regression models AE Raftery, D Madigan, JA Hoeting Journal of the American Statistical Association 92 (437), 179-191, 1997	2423	1997
Computational Statistics GH Givens, JA Hoeting John Wiley & Sons, 2013	873	2013
A structured and dynamic framework to advance traits‐based theory and prediction in ecology CT Webb, JA Hoeting, GM Ames, MI Pyne, N LeRoy Poff Ecology Letters 13 (3), 267-283, 2010	581	2010
The area under the precision‐recall curve as a performance metric for rare binary events HR Sofaer, JA Hoeting, CS Jarnevich Methods in Ecology and Evolution 10 (4), 565-577, 2019	264	2019
Model selection for geostatistical models JA Hoeting, RA Davis, AA Merton, SE Thompson Ecological Applications 16 (1), 87-98, 2006	240	2006
Restricted spatial regression in practice: geostatistical models, confounding, and robustness under model misspecification EM Hanks, EM Schliep, MB Hooten, JA Hoeting Environmetrics 26 (4), 243-254, 2015	190	2015
A method for simultaneous variable selection and outlier identification in linear regression J Hoeting, AE Raftery, D Madigan Computational Statistics & Data Analysis 22 (3), 251-270, 1996	179	1996
Factors affecting species distribution predictions: a simulation modeling experiment GC Reese, KR Wilson, JA Hoeting, CH Flather Ecological Applications 15 (2), 554-564, 2005	177	2005
BMA: Bayesian model averaging A Raftery, J Hoeting, C Volinsky, I Painter, KY Yeung R package version 3 (6), 2015	170	2015
BMA: Bayesian model averaging A Raftery, J Hoeting, C Volinsky, I Painter, KY Yeung R package version 3 (1), 2009	170*	2009
An improved model for spatially correlated binary responses JA Hoeting, M Leecaster, D Bowden Journal of Agricultural, Biological, and Environmental Statistics, 102-114, 2000	165	2000
BMA: an R package for Bayesian model averaging AE Raftery, IS Painter, CT Volinsky The Newsletter of the R Project Volume 5 (2), 2005	136	2005
Model selection and accounting for model uncertainty in linear regression models AE Raftery, D Madigan, J Hoeting University of Washington Department of Statistics Technical Report, 1993	129	1993
Linking chronic wasting disease to mule deer movement scales: a hierarchical Bayesian approach ML Farnsworth, JA Hoeting, NT Hobbs, MW Miller Ecological Applications 16 (3), 1026-1036, 2006	95	2006
The importance of accounting for spatial and temporal correlation in analyses of ecological data JA Hoeting Ecological Applications 19 (3), 574-577, 2009	86	2009
A comparison study of extreme precipitation from six different regional climate models via spatial hierarchical modeling EM Schliep, D Cooley, SR Sain, JA Hoeting Extremes 13 (2), 219-239, 2010	85	2010
Projected wetland densities under climate change: habitat loss but little geographic shift in conservation strategy HR Sofaer, SK Skagen, JJ Barsugli, BS Rashford, GC Reese, JA Hoeting, ... Ecological Applications 26 (6), 1677-1692, 2016	77	2016
Bayesian variable and transformation selection in linear regression JA Hoeting, AE Raftery, D Madigan Journal of Computational and Graphical Statistics 11 (3), 485-507, 2002	72	2002
Bayesian model averaging JA Hoeting, D Madigan, AE Raftery, CT Volinsky Proceedings of the AAAI Workshop on Integrating Multiple Learned Models 335 …, 1998	71	1998

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