Journal ArticleDOI
Coastal flooding: A copula based approach for estimating the joint probability of water levels and waves
TLDR
In this article, a copula-based approach is presented for modeling the joint distribution derived from almost six years of sea levels and waves at a site suffering from coastal flooding at a particular simplified application case is described for the Ravenna coast (Italy).About:
This article is published in Coastal Engineering.The article was published on 2015-03-01. It has received 91 citations till now. The article focuses on the topics: Extreme value theory & Copula (probability theory).read more
Citations
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Journal ArticleDOI
Compounding effects of sea level rise and fluvial flooding
TL;DR: A bivariate flood hazard assessment approach is proposed that accounts for compound flooding from river flow and coastal water level, and it is shown that a univariate approach may not appropriately characterize the flood hazard if there are compounding effects.
Journal ArticleDOI
Multivariate statistical modelling of compound events via pair-copula constructions: analysis of floods in Ravenna (Italy)
TL;DR: In this paper, the authors developed a conceptual model, implemented via pair-copula constructions, which allows for the quantification of the risk associated with compound events in present-day and future climate, as well as the uncertainty estimates around such risk.
Journal ArticleDOI
A multivariate copula-based framework for dealing with hazard scenarios and failure probabilities
TL;DR: It is shown how a Hazard Scenario can be identified in terms of a specific geometry and a suitable probability level, and how this approach is well suited to cope with the notion of Failure Probability, a tool traditionally used for design and risk assessment in engineering practice.
Journal ArticleDOI
Joint statistical models for significant wave height and wave period in a changing climate
TL;DR: In this article, a study on various joint models for the simultaneous distribution of significant wave height and zero-crossing wave period is presented, including a conditional model, a bivariate parametric model and several models based on parametric families of copulas.
Journal ArticleDOI
A review of quantification methodologies for multi-hazard interrelationships
TL;DR: This critical review uses grey- and peer-review literature to identify and compare current research available for the quantification of hazard interrelations, focussing on 14 different natural hazards, and believes that this review will lead to a better understanding of quantification methodologies for hazard inter Relations between different sub-disciplines that focus on natural hazards.
References
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Journal ArticleDOI
Estimating the Dimension of a Model
TL;DR: In this paper, the problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion.
Estimating the dimension of a model
TL;DR: In this paper, the problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion.
Journal ArticleDOI
Multimodel Inference Understanding AIC and BIC in Model Selection
TL;DR: Various facets of such multimodel inference are presented here, particularly methods of model averaging, which can be derived as a non-Bayesian result.
Book
An Introduction to Copulas
TL;DR: This book discusses the fundamental properties of copulas and some of their primary applications, which include the study of dependence and measures of association, and the construction of families of bivariate distributions.