Open Access
March 2016 Comment on Article by Page and Quintana
Carlo Gaetan, Simone A. Padoan, Igor Prünster
Bayesian Anal. 11(1): 307-314 (March 2016). DOI: 10.1214/16-BA971C


Page and Quintana (2016) introduce the novel methodology of spatial product partition models in order to explicitly model the partitioning of spatial locations, with the aim of balancing local and global spatial dependence. Here we first discuss Gibbs-type partitions and their connection to exchangeable product partition models and their possible use as building blocks of spatial product partition models. Then, adopting the viewpoint of extreme value theory, we focus on two approaches for modeling spatial extremes, namely hierarchical modeling based on a latent stochastic process and modeling based on max-stable processes. Additional insights and interesting findings may arise by developing the approach of Page and Quintana (2016) along these lines.


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Carlo Gaetan. Simone A. Padoan. Igor Prünster. "Comment on Article by Page and Quintana." Bayesian Anal. 11 (1) 307 - 314, March 2016.


Published: March 2016
First available in Project Euclid: 29 January 2016

zbMATH: 1359.62397
MathSciNet: MR3465816
Digital Object Identifier: 10.1214/16-BA971C

Keywords: Asymptotic independence , Extreme value theory , Gibbs-type partition , hierarchical modeling , max-stable random field , two parameter Poisson-Dirichlet partition , upper-tail dependence coefficient function

Rights: Copyright © 2016 International Society for Bayesian Analysis

Vol.11 • No. 1 • March 2016
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