Statistical Science

Discussion of “Statistical Modeling of Spatial Extremes” by A. C. Davison, S. A. Padoan and M. Ribatet

D. Cooley and S. R. Sain
Source: Statist. Sci. Volume 27, Number 2 (2012), 187-188.
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Permanent link to this document: http://projecteuclid.org/euclid.ss/1340110865
Digital Object Identifier: doi:10.1214/12-STS376A
Mathematical Reviews number (MathSciNet): MR2963988

References

Bonnin, G., Todd, D., Lin, B., Parzybok, T., Yekta, M. and Riley, D. (2004a). NOAA Atlas 14, Precipitation Frequency Atlas of the United States 1. U.S. Dept. Commerce, National Oceanic and Atmospheric Administration, National Weather Service, Silver Spring, MD.
Bonnin, G., Todd, D., Lin, B., Parzybok, T., Yekta, M. and Riley, D. (2004b). NOAA Atlas 14, Precipitation Frequency Atlas of the United States 2. U.S. Dept. Commerce, National Oceanic and Atmospheric Administration, National Weather Service, Silver Spring, MD.
Dalrymple, T. (1960). Flood frequency analyses. Water Supply Paper 1543-a, U.S. Geological Survey, Reston, VA.
Davison, A., Padoan, S. and Ribatet, M. (2012). Statistical modeling of spatial extremes. Statist. Sci. 27 161–186.
Hosking, J. R. M. and Wallis, J. R. (1997). Regional Frequency Analysis: An Approach Based on L-Moments. Cambridge Univ. Press, Cambridge.
Maraun, D., Osborn, T. and Rust, H. (2011). The influence of synoptic airflow on UK daily precipitation extremes. Part I: Observed spatio-temporal relationships. Climate Dynamics 36 261–275.
Zentralblatt MATH: 1148.86002
Ribatet, M. (2011). SpatialExtremes: Modelling spatial extremes. R package version 1.8-1.
Sang, H. and Gelfand, A. E. (2010). Continuous spatial process models for spatial extreme values. J. Agric. Biol. Environ. Stat. 15 49–65.
Mathematical Reviews (MathSciNet): MR2755384
Digital Object Identifier: doi:10.1007/s13253-009-0010-1
Sillmann, J., Croci-Maspoli, M., Kallache, M. and Katz, R. W. (2011). Extreme cold winter temperatures in Europe under the influence of North Atlantic atmospheric blocking. Journal of Climate 24 5899–5913.
Weller, G., Cooley, D. and Sain, S. (2012). An investigation of the pineapple express phenomenon via bivariate extreme value theory. Environmetrics. To appear. DOI:10.1002/env.2143.

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