| Bayesian spatial modeling of extreme precipitation return levels D Cooley, D Nychka, P Naveau Journal of the American Statistical Association 102 (479), 824-840, 2007 | 638 | 2007 |
| Variograms for spatial max-stable random fields D Cooley, P Naveau, P Poncet Dependence in probability and statistics, 373-390, 2006 | 279 | 2006 |
| Return periods and return levels under climate change D Cooley Extremes in a changing climate: Detection, analysis and uncertainty, 97-114, 2012 | 275 | 2012 |
| Methane leaks from natural gas systems follow extreme distributions AR Brandt, GA Heath, D Cooley Environmental science & technology 50 (22), 12512-12520, 2016 | 261 | 2016 |
| Bayesian inference from composite likelihoods, with an application to spatial extremes M Ribatet, D Cooley, AC Davison Statistica Sinica, 813-845, 2012 | 236 | 2012 |
| Spatial hierarchical modeling of precipitation extremes from a regional climate model D Cooley, SR Sain Journal of agricultural, biological, and environmental statistics 15, 381-402, 2010 | 180 | 2010 |
| Modelling pairwise dependence of maxima in space P Naveau, A Guillou, D Cooley, J Diebolt Biometrika 96 (1), 1-17, 2009 | 164 | 2009 |
| Extreme value analysis and the study of climate change: A commentary on Wigley 1988 D Cooley Climatic change 97 (1), 77-83, 2009 | 162 | 2009 |
| Closing the methane gap in US oil and natural gas production emissions inventories JS Rutherford, ED Sherwin, AP Ravikumar, GA Heath, J Englander, ... Nature communications 12 (1), 4715, 2021 | 151 | 2021 |
| Rapid, vehicle-based identification of location and magnitude of urban natural gas pipeline leaks JC von Fischer, D Cooley, S Chamberlain, A Gaylord, CJ Griebenow, ... Environmental Science & Technology 51 (7), 4091-4099, 2017 | 151 | 2017 |
| Statistical methods for the analysis of climate extremes P Naveau, M Nogaj, C Ammann, P Yiou, D Cooley, V Jomelli Comptes rendus. Géoscience 337 (10-11), 1013-1022, 2005 | 151 | 2005 |
| A survey of spatial extremes: Measuring spatial dependence and modeling spatial effects D Cooley, J Cisewski, RJ Erhardt, S Jeon, E Mannshardt, BO Omolo, ... REVSTAT-Statistical Journal 10 (1), 135-165, 2012 | 124 | 2012 |
| Downscaling extremes: A comparison of extreme value distributions in point-source and gridded precipitation data EC Mannshardt-Shamseldin, RL Smith, SR Sain, LO Mearns, D Cooley The Annals of Applied Statistics, 484-502, 2010 | 114 | 2010 |
| The pairwise beta distribution: A flexible parametric multivariate model for extremes D Cooley, RA Davis, P Naveau Journal of Multivariate Analysis 101 (9), 2103-2117, 2010 | 111 | 2010 |
| Detecting change in UK extreme precipitation using results from the climateprediction.net BBC climate change experiment HJ Fowler, D Cooley, SR Sain, M Thurston Extremes 13, 241-267, 2010 | 104 | 2010 |
| A Bayesian hierarchical extreme value model for lichenometry D Cooley, P Naveau, V Jomelli, A Rabatel, D Grancher Environmetrics: The official journal of the International Environmetrics …, 2006 | 104 | 2006 |
| Decompositions of dependence for high-dimensional extremes D Cooley, E Thibaud Biometrika 106 (3), 587-604, 2019 | 99 | 2019 |
| Investigating the observed sensitivities of air-quality extremes to meteorological drivers via quantile regression WC Porter, CL Heald, D Cooley, B Russell Atmospheric Chemistry and Physics 15 (18), 10349-10366, 2015 | 99 | 2015 |
| Assessment study of lichenometric methods for dating surfaces V Jomelli, D Grancher, P Naveau, D Cooley, D Brunstein Geomorphology 86 (1-2), 131-143, 2007 | 89 | 2007 |
| 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, 219-239, 2010 | 86 | 2010 |
