Statistical Science

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

Benjamin Shaby and Brian J. Reich
Source: Statist. Sci. Volume 27, Number 2 (2012), 197-198.
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Permanent link to this document: http://projecteuclid.org/euclid.ss/1340110868
Digital Object Identifier: doi:10.1214/12-STS376D
Mathematical Reviews number (MathSciNet): MR2963991

References

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Mathematical Reviews (MathSciNet): MR2345548
Zentralblatt MATH: 05191574
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Koenker, R. (2005). Quantile Regression. Econometric Society Monographs 38. Cambridge Univ. Press, Cambridge.
Mathematical Reviews (MathSciNet): MR2268657
Lum, K. (2010). Bayesian spatial quantile regression. Ph.D. thesis, Dept. Statistical Science, Duke Univ.
Reich, B. (2012). Spatiotemporal quantile regression for detecting distributional changes in environmental processes. J. Roy. Statist. Soc. Ser. C. To appear.
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Mathematical Reviews (MathSciNet): MR2816698
Digital Object Identifier: doi:10.1198/jasa.2010.ap09237
Ribatet, M., Cooley, D. and Davison, A. C. (2012). Bayesian inference from composite likelihoods, with an application to spatial extremes. Statist. Sinica 22 813–845.
Tokdar, S. and Kadane, J. (2012). Simultaneous linear quantile regression: A semiparametric Bayesian approach. Bayesian Anal. 7 51–70.
Wang, Y. and Stoev, S. A. (2011). Conditional sampling for spectrally discrete max-stable random fields. Adv. in Appl. Probab. 43 461–483.
Mathematical Reviews (MathSciNet): MR2848386
Zentralblatt MATH: 1225.60085
Digital Object Identifier: doi:10.1239/aap/1308662488
Project Euclid: euclid.aap/1308662488

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