Daniel Cooley Professor

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

A Nonparametric Method for Producing Isolines of Bivariate Exceedance Probabilities Daniel StuartCooley Extremes, 2019.
Climate science needs professional statisticiansDaniel StuartCooley EoS.
Consistency of Extremes in Gridded Precipitation DatasetsDaniel StuartCooley Climate Dynamics, 2019.
Decompositions of Dependence for High-Dimensional ExtremesDaniel StuartCooley Biometrika, 2019.
New Exploratory Tools for Extremal Dependence: Chi Networks and Annual Extremal NetworksDaniel StuartCooley Journal of Agricultural, Biological, and Environmental Statistics, 2019.
Improved return level estimation via a weighted likelihood, latent spatial extremes modelJosh Michael Hewitt, Jennifer A. Hoeting, Miranda Jeanne Fix, Daniel Stuart Cooley Journal of Agricultural, Biological, and Environmental Statistics (JABES), 3, 2019.
Observed and Predicted Sensitivities of Extreme Surface Ozone to Meteorological Drivers in Three US CitiesMiranda Jeanne Fix, Daniel Stuart Cooley, Alma Hodzic, Eric Gilleland, Brook Thayer Russell, William C. Porter, Gabi G Pfister Atmospheric Environment, 2018.
A space-time skew-t model for threshold exceedancesSam A Morris, Daniel Stuart Cooley, Brian J. Reich, Emeric Thibaud Biometrics, 2017.
Modeling the Upper Tail of the Distribution of Facial Recognition Non-match ScoresBrett Daniel Hunter, Daniel Stuart Cooley, Geoffrey H. Givens, Ross Beveridge Statistics and Its Interface, 2017.
Rapid, Vehicle-Based Identification of Location and Magnitude of Urban Natural Gas Pipeline LeaksJoe Charles von Fischer, Daniel Stuart Cooley, Sam Chamberlain, Adam Gaylord, Claire J. Griebenow, Steven P. Hamburg, Jessica Salo, Russ Stanley Schumacher, David Theobald, Jay M. Ham ENVIRONMENTAL SCIENCE & TECHNOLOGY, 7, 2017.