Fitting spatial max-mixture processes with unknown extremal dependence class: an exploratory analysis tool

Author:

Abu-Awwad A.,Maume-Deschamps V.,Ribereau P.

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference42 articles.

1. Abu-Awwad A-F, Maume-Deschamps V, Ribereau P (2019) Censored pairwise likelihood-based tests for mixture parameter of spatial max-mixture models. Accepted for publication to Revista de Investigacion Operacional. arXiv:1801.00981

2. Ahmed M, Maume-Deschamps V, Ribereau P, Vial C (2017) A semi-parametric estimation for max-mixture spatial processes. Submitted for publication

3. Antoniadis A, Berruyer J, René C (1992) Régression non linéaire et applications. Economica, Paris

4. Arbia G, Lafratta G (2002) Anisotropic spatial sampling designs for urban pollution. J R Stat Soc Ser C (Appl Stat) 51(2):223–234

5. Bacro JN, Gaëtan C, Toulemonde G (2016) A flexible dependence model for spatial extremes. J Stat Plan Inference 172:36–52

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