Dan Cooley Assistant Professor Department of Statistics Colorado State University

Contact Information:

Courses

Biographical Information

I am an assistant professor in the statistics department at Colorado State University. I have research interests in extreme value theory and spatial statistics. I regularly collaborate with the Geophysical Statistics Project at NCAR.

I met my wife Tina in 1998, and we were married in June of 2002. We live in Ft. Collins with our sons Ethan and Abe, and our dog Molly. We like to bicycle, hike, swim, telemark ski, and generally be outdoors.

Research

Selected Publications and Manuscripts

• Cooley D., Davis R., Naveau P. (2010). The Pairwise Beta Distribution: A Flexible Parametric Multivariate Model for Extremes Accepted by Journal of Multivariate Analysis. manuscript(pdf)
• Schliep E., Cooley D., Sain, S.R., Hoeting, J.A. (2010). A Comparison Study of Extreme Precipitation from Six Different Regional Climate Models via Spatial Hierarchical Modeling. Extremes 13:219-239. manuscript(pdf) color/additional figures(pdf)
• Fowler H.J., Cooley D., Sain, S.R., Thurston, M. (2010). Detecting change in UK extreme precipitation using results from the climateprediction.net BBC Climate Change Experiment. Extremes 13:241-267.
• Cooley D., Sain, S.R. (2008). Spatial Hierarchical Modeling of Precipitation Extremes from a Regional Climate Model. Accepted by JABES. manuscript(pdf)
• Shamseldin E.C., Smith, R.L., Sain S.R., Mearns L., Cooley D. (2010). Downscaling Extremes: A Comparison of Extreme Value Distributions in Point-Source and Gridded Precipitation Data. Annals of Applied Statistics, 4:484-502.
• Cooley D. (2009). Extreme Value Analysis and the Study of Climate Change, (Commentary on Tom Wigley's historical paper ``The Effect of Changing Climate on the Frequency of Absolute Extreme Events''). Climatic Change, 97:77-83.
• Naveau P., Guillou A., Cooley D., and Diebolt J. (2009). Modeling Pairwise Dependence of Maxima in Space. Biometrika, 96:1-17.
• Cooley D., Davis R., Naveau P. (2007). Prediction for Max-Stable Processes via an Approximated Conditional Density. CSU Technical Report 2007-3. manuscript(pdf)
• Cooley D., Nychka D., Naveau P. (2007) Bayesian Spatial Modeling of Extreme Precipitation Return Levels Journal of the American Statistical Association,, 102:824-840. appendix(pdf)
• Naveau P., Jomelli V., Cooley D., Rabatel A. (2007). Modeling Uncertainties in Lichenometry Studies Arctic, Antarctic, and Alpine Research, 39:277-285.
• Jomelli V., Grancher D., Naveau P., Cooley D., Brunstein, D. (2007). Assessment Study of Lichenometric Methods for Dating Surfaces. Geomorphology, 86:131-143.
• Cooley D., Naveau P. and Jomelli V. (2006) A Bayesian Hierarchical Extreme Value Model for Lichenometry. Environmetrics, 17:555-574.
• Cooley D., Naveau P., Poncet P. (2006). Variograms for spatial max-stable random fields In Dependence in Probability and Statistics, edited by Bertail P., Doukhan P., Soulier P.; Springer Lecture Notes in Statistics #187.
• Cooley D. (2005). Statistical Analysis of Extremes Motivated by Weather and Climate Studies; Applied and Theoretical Advances. Ph.D. Thesis, University of Colorado at Boulder, Department of Applied Mathematics; October 2005. thesis(pdf)
• Naveau P., Nogaj M., Ammann C., Yiou P., Cooley D. and Jomelli V. (2005). Statistical Analysis of Climate Extremes. Comptes rendus Geosciences de l'Academie des Sciences 337:1013-1022.
• Cooley D., Jomelli V., Naveau P. (2004). Spatio-temporal Analysis of Extreme Values from Lichenometric Studies and their Relationships to Climate in Proceedings of The International Environmetrics Society Conference 2004. Portland, Maine.

Some Recent Presentations

• Climate Change and Extremes; ASA Section on Statistics and the Environment Workshop on Environmetrics, Oct. 14-16, 2010, National Center for Atmospheric Research, Boulder CO, October 15, 2010.
• Models for Spatial Extremes; Extreme events in climate and weather an interdisciplinary workshop, Banff, Alberta, Canada, August 25, 2010.slides(pdf)
• A Comparison Study of Extreme Precipitation from Six Regional Climate Models via Spatial Hierarchical Modeling; 11th International Meeting on Statistical Climatology; Edinburgh, Scotland, July 14, 2010. slides(pdf)
• Spatial Hierarchical Models for Extremes: Modeling Both Climate and Weather Effects; University of Georgia, February 11, 2010.
• Modeling Precipitation Extremes from Regional Climate Models; Program on Space-time Analysis for Environmental Mapping, Epidemiology and Climate Change, opening workshop; SAMSI, Research Triangle Park, NC; September 15, 2009.
• Modeling Precipitation Extremes from Regional Climate Models; Joint Statistical Meetings; Washington DC; Invited Session: From Climate to Weather: Regionalizing Climate Models; August 2009.
• Spatial Hierarchical Modeling of Precipitation Extremes from a Regional Climate Model; American Geophysical Union Fall Meeting, San Francisco, CA, December 15-19, 2008.
• Spatial Hierarchical Modeling of Precipitation Extremes from a Regional Climate Model; University of Wyoming, October 3, 2008.
• Bayesian Hierarchical Modeling of Extremes from Regional Climate Model Simulations; Statistical Modeling of Extremes in Data Assimilation and Filtering Approaches; Strasbourg France, June 25, 2008.
• Estimating Dependence and Performing Prediction for Max-stable Processes; Institut de Recherche Mathématique Avancée, Université Louis Pasteur Strasbourg, June 10, 2008. slides(pdf)
• Prediction for Max-Stable Processes via an Approximated Conditional Density; Interface 2008, Durham NC, May 22, 2008.
• Bayesian Hierarchical Modeling of Precipitation Extremes from a Regional Climate Model; Risk Revisited, SAMSI, Durham NC, May 21, 2008.

Short Course

• Introduction to Extreme Value Analysis: Univariate, Multivariate, and Spatial Cases SAMSI/Sandia UQ Summer School; Albuquerque NM, June 21, 2011. Materials

updated October 2010