DC
Daniel Cooley
stat.MEstat.APmath.STstat.THAir PollutantsEnvironmental Indicators and Impact AssessmentExtreme value analysisMarkov chain Monte CarloMethaneModels, Statistical
On Valency
published · living versionsW_6gttwfcb·v1 · currentpublished
Approximating the conditional density given large observed values via a multivariate extremes framework, with application to environmental data
with Richard A. Davis, Philippe Naveau
1 version
W_qqaum6nm·v1published
W_x75vad65·v1published
Preprints & journals
26 papers in the corpus · 2009–2026Regime-Aware Estimation of Large Equity Correlation Matrices: Tail-Pairwise Dependence and Dynamic Conditional Correlation Decomposition for Water and Energy Sectors2610.12166v1 · Katherine B. Ensor, Quadri Popoola, Meredith Kruse et al.2026 · 0 citationsarXiv
Quantifying Very Extreme Precipitation and Temperature Using Huge Ensembles Generated by Machine Learning-based Climate Model Emulators2510.08893v2 · Christopher J. Paciorek, Daniel Cooley2025 · 0 citationsarXiv
Transformed-Linear Innovations Algorithm for Modeling and Forecasting of Time Series Extremes2309.10061v1 · Nehali Mhatre, Daniel Cooley2023 · 1 citationarXiv
Semiparametric Estimation of the Shape of the Limiting Bivariate Point Cloud2306.13257v4 · Reetam Majumder, Benjamin A. Shaby, Brian J. Reich et al.2023 · 4 citationsarXiv
Transformed Linear Prediction for Extremes2111.03754v5 · Jeongjin Lee, Daniel Cooley2021 · 1 citationarXiv
Closing the methane gap in US oil and natural gas production emissions inventories.34354066 · Rutherford, Jeffrey S, Sherwin, Evan D, Ravikumar, Arvind P et al.2021 · 209 citationsNature communications. 2021;12(1):4715
Simulating flood event sets using extremal principal components2106.00630v2 · Christian Rohrbeck, Daniel Cooley2021 · 8 citationsAnnals of Applied Statistics 17(2): 1333-1352, June 2023
Transformed-Linear Models for Time Series Extremes2012.06705v3 · Nehali Mhatre, Daniel Cooley2020 · 9 citationsarXiv
Closing the gap: Explaining persistent underestimation by US oil and natural gas production-segment methane inventoriesx5jc7t · Jeffrey Rutherford, Evan Sherwin, Arvind Ravikumar et al.2020 · 9 citationsEarthArXiv
Distributionally Robust Inference for Extreme Value-at-Risk1902.05853v3 · Robert Yuen, Stilian Stoev, Dan Cooley2019 · 9 citationsarXiv
New Exploratory Tools for Extremal Dependence: Chi Networks and Annual Extremal Networks1901.08169v1 · Whitney K. Huang, Daniel S. Cooley, Imme Ebert-Uphoff et al.2019 · 0 citationsarXiv
Improved return level estimation via a weighted likelihood, latent spatial extremes model1810.07318v2 · Joshua Hewitt, Miranda J. Fix, Jennifer A. Hoeting et al.2018 · 5 citationsarXiv
A Nonparametric Method for Producing Isolines of Bivariate Exceedance Probabilities1710.05248v1 · Daniel Cooley, Emeric Thibaud, Federico Castillo et al.2017 · 18 citationsarXiv
Rapid, Vehicle-Based Identification of Location and Magnitude of Urban Natural Gas Pipeline Leaks.28326761 · von Fischer, Joseph C, Cooley, Daniel, Chamberlain, Sam et al.2017 · 170 citationsEnvironmental science & technology. 2017;51(7):4091-4099
A space-time skew-t model for threshold exceedances.28083872 · Morris, Samuel A, Reich, Brian J, Thibaud, Emeric et al.2017 · 41 citationsBiometrics. 2017;73(3):749-758
Decompositions of Dependence for High-Dimensional Extremes1612.07190v4 · Daniel Cooley, Emeric Thibaud2016 · 90 citationsarXiv
Methane Leaks from Natural Gas Systems Follow Extreme Distributions.27740745 · Brandt, Adam R, Heath, Garvin A, Cooley, Daniel2017 · 307 citationsEnvironmental science & technology. 2016;50(22):12512-12520
Bayesian inference for the Brown-Resnick process, with an application to extreme low temperatures1506.07836v2 · Emeric Thibaud, Juha Aalto, Daniel S. Cooley et al.2015 · 66 citationsThe Annals of Applied Statistics, 2016, Vol. 10, No. 4, 2303-2324
Data Mining to Investigate the Meteorological Drivers for Extreme Ground Level Ozone Events1504.08080v4 · Brook T. Russell, Daniel Cooley, William C. Porter et al.2015 · 17 citationsarXiv
A Markov-switching model for heat waves1405.3904v3 · Benjamin A. Shaby, Brian J. Reich, Daniel Cooley et al.2014 · 26 citationsAnnals of Applied Statistics 2016, Vol. 10, No. 1, 74-93on Valency
Extreme value analysis for evaluating ozone control strategies1312.1816v1 · Brian Reich, Daniel Cooley, Kristen Foley et al.2013 · 16 citationsAnnals of Applied Statistics 2013, Vol. 7, No. 2, 739-762
Evaluating atmospheric CO2 inversions at multiple scales over a highly inventoried agricultural landscape.23505222 · Schuh, Andrew E, Lauvaux, Thomas, West, Tristram O et al.2013 · 85 citationsGlobal change biology. 2013;19(5):1424-39
Approximating the conditional density given large observed values via a multivariate extremes framework, with application to environmental data1301.1428v1 · Daniel Cooley, Richard A. Davis, Philippe Naveau2013 · 22 citationsAnnals of Applied Statistics 2012, Vol. 6, No. 4, 1406-1429on Valency
Discussion of "Statistical Modeling of Spatial Extremes" by A. C. Davison, S. A. Padoan and M. Ribatet1208.3559v1 · D. Cooley, S. R. Sain2012 · 8 citationsStatistical Science 2012, Vol. 27, No. 2, 187-188
Downscaling extremes: A comparison of extreme value distributions in point-source and gridded precipitation data1010.1604v1 · Elizabeth C. Mannshardt-Shamseldin, Richard L. Smith, Stephan R. Sain et al.2010 · 81 citationsAnnals of Applied Statistics 2010, Vol. 4, No. 1, 484-502
Bayesian Inference from Composite Likelihoods, with an Application to Spatial Extremes0911.5357v2 · Mathieu Ribatet, Daniel Cooley, Anthony C. Davison2009 · 163 citationsarXivon Valency
Career total: 111 works. 26 are in this corpus.
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