MultiHazard: Copula-based Joint Probability Analysis in R

The Journal of Open Source Software 2026 Open access

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Authors: Robert Jane, Thomas Wahl, Francisco Peña, Jayantha Obeysekera, C. J. R. Murphy‐Barltrop, Javed Ali, Pravin Maduwantha, Huazhi Li, Victor Malagon Santos
DOI: 10.21105/joss.08350
Cited by: 2
References: 13

Abstract

Compound events occur when combinations of drivers and/or hazards contribute to a societal/environmental impact (Zscheischler et al., 2020).Even if none of the individual drivers or hazards are extreme, their combination can produce extreme impacts.Assessing the potential for compound extreme events is therefore critical for effective risk management and mitigation planning.To determine the probability of compound events, statistical models are applied to time series data of the drivers or hazards, typically as the first step in the risk-analysis modeling chain.

Fields of Study & Subjects

Data Analysis with R Bayesian Methods and Mixture Models Advanced Statistical Modeling Techniques

Publication details

Journal / source
The Journal of Open Source Software
Publisher
The Open Journal
Volume
11
Issue
117
Pages
8350–8350
Publication date
14 January 2026