Modeling and projecting the occurrence of bivariate extreme heat events using a non-homogeneous common Poisson shock process-Reference-Cited by-同舟云学术

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Modeling and projecting the occurrence of bivariate extreme heat events using a non-homogeneous common Poisson shock process

Published:2014-09-16 Issue:1 Volume:29 Page:309-322
ISSN:1436-3240
Container-title:Stochastic Environmental Research and Risk Assessment
language:en
Short-container-title:Stoch Environ Res Risk Assess

Author:

Abaurrea J.,Asín J.,Cebrián A. C.

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science,Safety, Risk, Reliability and Quality,Water Science and Technology,Environmental Chemistry,Environmental Engineering

Link

http://link.springer.com/content/pdf/10.1007/s00477-014-0953-9.pdf

Reference48 articles.

1. Abaurrea J, Asín J, Cebrián A, Centelles A (2007) Modeling and forecasting extreme heat events in the central Ebro valley, a continental-mediterranean area. Global Planet Change 57(1–2):43–58

2. Abaurrea J, Asín J, Cebrián AC (2014) A bootstrap test of independence between three temporal nonhomogeneous Poisson processes and its application to heat wave modeling. Environ Ecol Stat 1–18. http://dx.doi.org/10.1007/s10651-014-0288-1

3. Achcar J, Rodrigues E, Paulino C, Soares P (2010) Non-homogeneous Poisson models with a change-point: an application to ozone peaks in Mexico City. Environ Ecol Stat 17(4):521–41

4. Böcker K, Klüppelberg C (2008) Modelling and measuring multivariate operational risk with Lèvy copulas. J Oper Risk 3(2):3–27

5. Bäuerle N, Grübel R (2005) Multivariate counting processes: copulas and beyond. ASTIN Bull 35(2):379–408

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