Asymptotic Dependence Modeling for Spatio-temporal Max-stable Processes
Keywords:
Max-stable process, Spatio-temporal process, extreme values, Copulas, Generalized Pareto distributionsAbstract
Max-stability is the foundation of multivariate extreme values analysis. This paper investigates a asymptotic dependence modeling of max-stable processes both with spatial and temporal variables. SpeciÂ…cally the paper provides new characterizations of extremal distributions via a dependence measure of the stochastic joint behavior at given locality s and date t. The analytical forms of spatio-temporal asymptotic dependence structures are provided for the main bivariate and trivariate models of max-stableprocesses.
Downloads
Published
2017-11-02
Issue
Section
Mathematical Statistics
License
Upon acceptance of an article by the European Journal of Pure and Applied Mathematics, the author(s) retain the copyright to the article. However, by submitting your work, you agree that the article will be published under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). This license allows others to copy, distribute, and adapt your work, provided proper attribution is given to the original author(s) and source. However, the work cannot be used for commercial purposes.
By agreeing to this statement, you acknowledge that:
- You retain full copyright over your work.
- The European Journal of Pure and Applied Mathematics will publish your work under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
- This license allows others to use and share your work for non-commercial purposes, provided they give appropriate credit to the original author(s) and source.
How to Cite
Asymptotic Dependence Modeling for Spatio-temporal Max-stable Processes. (2017). European Journal of Pure and Applied Mathematics, 10(5), 1035-1049. https://www.ejpam.com/index.php/ejpam/article/view/3109