Office: Statistics Building 217
Phone: (970) 491-5721
Website: https://www.stat.colostate.edu/~cooleyd
Curriculum Vitae: http://www.stat.colostate.edu/~cooleyd/cvCooley.pdf
Google Scholar: https://scholar.google.fr/citations?hl=en&pli=1&user=CkiayDAAAAAJ
Education
- Ph.D. Applied Mathematics, University of Colorado at Boulder, 2005
- M.S. Applied Mathematics, University of Colorado at Boulder, 2002
- B.A. Mathematics, University of Colorado at Boulder, 1994
About
Cooley’s research is primarily in extreme value analysis, which aims to characterize the tail of the distribution. Specifically, his research has focused on describing and modeling extremal dependence both in the multivariate and spatial cases. Much of his research is motivated by quantifying risk associated with extreme weather events and Cooley has collaborated with atmospheric scientists at institutions such as the National Center for Atmospheric Research and the Berkeley National Labs.
Publications
- Attribution of Seasonal Wildfire Risk to Changes in Climate: A Statistical Extremes Approach Journal of Applied Meteorology and Climatology.
- Simulating Flood Event Sets Using Extremal Principal Components Annals of Applied Statistics.
- Closing the Gap: Explaining Persistent Underestimation by US Oil and Natural Gas Production-Segment Methane Inventories Nature Communications, 2021.
- Multiple Indicators of Extreme Changes in Snow Dominated Regimes Water.
- Simultaneous Autoregressive Models for Spatial Extremes Environmetrics.
- Distributionally Robust Inference for Extreme Value-at-Risk Insurance: Mathematics and Economics.
- Principal Component Analysis for Extremes and Application to US Precipitation Journal of Climate, 33.
- A Nonparametric Method for Producing Isolines of Bivariate Exceedance Probabilities Extremes, 2019.
- Climate science needs professional statisticians EoS.
- Consistency of Extremes in Gridded Precipitation Datasets Climate Dynamics, 2019.
- Decompositions of Dependence for High-Dimensional Extremes Biometrika, 2019.
- New exploratory tools for extremal dependence: $\chi$ networks and annual extremal networks Journal of Agricultural, Biological and Environmental Statistics, 3, 2019.
- New Exploratory Tools for Extremal Dependence: Chi Networks and Annual Extremal Networks Journal of Agricultural, Biological, and Environmental Statistics, 2019.
- Improved return level estimation via a weighted likelihood, latent spatial extremes model Journal of Agricultural, Biological, and Environmental Statistics (JABES), 3, 2019.
- Emerging Data Science and Machine Learning Opportunities in the Weather and Climate SciencesAGU Fall Meeting 20182018.
- Observed and Predicted Sensitivities of Extreme Surface Ozone to Meteorological Drivers in Three US Cities Atmospheric Environment, 2018.
- A space-time skew-t model for threshold exceedances Biometrics, 2017.
- Modeling the Upper Tail of the Distribution of Facial Recognition Non-match Scores Statistics and Its Interface, 2017.
- Rapid, Vehicle-Based Identification of Location and Magnitude of Urban Natural Gas Pipeline Leaks ENVIRONMENTAL SCIENCE & TECHNOLOGY, 7, 2017.
- Rapid, Vehicle-Based Identification of Location and Magnitude of Urban Natural Gas Pipeline Leaks ENVIRONMENTAL SCIENCE & TECHNOLOGY, 7, 2017.
- Rapid, Vehicle-Based Identification of Location and Magnitude of Urban Natural Gas Pipeline Leaks ENVIRONMENTAL SCIENCE & TECHNOLOGY, 7, 2017.
- Rapid, Vehicle-Based Identification of Location and Magnitude of Urban Natural Gas Pipeline Leaks Environmental Science & Technology, 7, 2017.
- A comparison of US precipitation extremes under RCP8. 5 and RCP4. 5 with an application of pattern scaling Climatic Change, 2016.
- A Markov-switching model for heat waves The Annals of Applied Statistics, 1, 2016.
- A Markov-switching model for heat waves Ann. Appl. Stat., 1, 2016.
- Bayesian inference for the Brown-Resnick process, with an application to extreme low temperatures Annals of Applied Statistics, 2016.
- Data Mining to Investigate the Meteorological Drivers for Extreme Ground Level Ozone Events Annals of Applied Statistics, 2016.
- Methane leaks from natural gas systems follow extreme distributions Environmental Science & Technology, 22, 2016.
- Modeling the spatial behavior of the meteorological drivers’ effects on extreme ozone Environmetrics, 6, 2016.
- Rapid, vehicle-based identification of location and magnitude of urban natural gas pipeline leaks Environmental Science and Technology.
- A spatial model to examine rainfall extremes in Colorado’s Front Range Journal of Hydrology, 2015.
- An approach for verifying biogenic greenhouse gas emissions inventories with atmospheric CO2 concentration data Environmental Research Letters, 2015.
- Investigating the observed sensitivities of air-quality extremes to meteorological drivers via quantile regression Atmospheric Chemistry and Physics, 18, 2015.
- A comparison of a traditional geostatistical regression approach and a general Gaussian process approach for spatial prediction Stat, 1, 2014.
- A hierarchical model for serially-dependent extremes: A study of heat waves in the western US Journal of Agricultural, Biological, and Environmental Statistics, 1, 2014.
- A hierarchical model for serially-dependent extremes: a study of heat waves in the western US J. Agric. Biol. Environ. Stat., 1, 2014.
- A sum characterization of hidden regular variation with likelihood inference via expectation-maximization Biometrika, 2014.
- A constrained least-squares approach to combine bottom-up and top-down CO2 flux estimates Environmental and ecological statistics, 1, 2013.
- Evaluating atmospheric CO2 inversions at multiple scales over a highly inventoried agricultural landscape Global change biology, 5, 2013.
- Evaluating atmospheric CO2 inversions at multiple scales over a highly inventoried agricultural landscape Global change biology, 5, 2013.
- Extreme value analysis for evaluating ozone control strategies The annals of applied statistics, 2, 2013.
- Extreme value analysis for evaluating ozone control strategies Ann. Appl. Stat., 2, 2013.
- Return periods and return levels under climate changeExtremes in a Changing Climate Springer Netherlands, 2013.
- Two case studies on NARCCAP precipitation extremes Journal of Geophysical Research: Atmospheres, 18, 2013.
- A survey of spatial extremes: measuring spatial dependence and modeling spatial effects Revstat, 1, 2012.
- An alternative characterization of hidden regular variation in joint tail modeling Technical report, Colorado State University Department of Statistics, 2012.
- An investigation of the pineapple express phenomenon via bivariate extreme value theory Environmetrics, 5, 2012.
- Approximating the conditional density given large observed values via a multivariate extremes framework, with application to environmental data The Annals of Applied Statistics, 4, 2012.
- Bayesian inference from composite likelihoods, with an application to spatial extremes Statistica Sinica, 2012.
- Discussion of “Statistical Modeling of Spatial Extremes” by AC Davison, SA Padoan and M. Ribatet Statistical science, 2, 2012.
- A response to the commentary of M. Dabski about the paper‛ Asynchronous Little Ice Age glacial maximum extent in southeast Iceland’(Geomorphology (2010), 114, 253–260) Geomorphology, 1, 2011.
- Threshold modelling of spatially dependent non-stationary extremes with application to hurricane-induced wave heights Discussion WILEY-BLACKWELL COMMERCE PLACE, 350 MAIN ST, MALDEN 02148, MA USA, 2011.
- A comparison study of extreme precipitation from six different regional climate models via spatial hierarchical modeling Extremes, 2, 2010.
- Detecting change in UK extreme precipitation using results from the climateprediction. net BBC climate change experiment Extremes, 2, 2010.
- Downscaling extremes: A comparison of extreme value distributions in point-source and gridded precipitation data The Annals of Applied Statistics, 2010.
- Letter To The Editor: A Response To Bradwell’s Commentary ON Recent Statistical Studies In LICHENOMETRY Geografiska Annaler, 2010.
- Spatial hierarchical modeling of precipitation extremes from a regional climate model Journal of agricultural, biological, and environmental statistics, 3, 2010.
- The pairwise beta distribution: A flexible parametric multivariate model for extremes Journal of Multivariate Analysis, 9, 2010.
- Extreme value analysis and the study of climate change Climatic change, 1-2, 2009.
- Modelling pairwise dependence of maxima in space Biometrika, 1, 2009.
- Assessment study of lichenometric methods for dating surfaces Geomorphology, 1, 2007.
- Bayesian spatial modeling of extreme precipitation return levels Journal of the American Statistical Association, 479, 2007.
- Modeling uncertainties in lichenometry studies Arctic, Antarctic, and Alpine Research, 2, 2007.
- Prediction for max-stable processes via an approximated conditional density Colorado State University Department of Statistics Technical Report, 2007.
- A Bayesian hierarchical extreme value model for lichenometry Environmetrics, 6, 2006.
- Variograms for spatial max-stable random fieldsDependence in probability and statistics Springer New York, 2006.
- Statistical analysis of extremes motivated by weather and climate studies: applied and theoretical advances University of Colorado, 2005.
- Statistical methods for the analysis of climate extremes Comptes Rendus Geoscience, 10, 2005.
