Projections of meteorological drought severity-duration variations based on CMIP6. [PDF]
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Structured Expert Elicitation of Dependence Between River Tributaries Using Nonparametric Bayesian Networks. [PDF]
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The Dynamics of Shannon Entropy in Analyzing Climate Variability for Modeling Temperature and Precipitation Uncertainty in Poland. [PDF]
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Exploring Causal Effects of Hormone- and Radio-Treatments in an Observational Study of Breast Cancer Using Copula-Based Semi-Competing Risks Models. [PDF]
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Hierarchical Archimedean Copulas
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Two new generators of Archimedean copulas with their properties
Communications in Statistics - Theory and Methods. In this article, two new generators of bivariate Archimedean copulas are proposed. Several useful properties, such as the Kendall’s τ rank correlation coefficient and lower and upper tail dependence coefficients are derived.
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A New Family of Archimedean Copulas: The Truncated-Poisson Family of Copulas
Bulletin of the Malaysian Mathematical Sciences Society, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Simulating from Exchangeable Archimedean Copulas
Communications in Statistics Part B: Simulation and Computation, 2007Multivariate exchangeable Archimedean copulas are one of the most popular classes of copulas that are used in actuarial science and finance for modeling risk dependencies and for using them to quantify the magnitude of tail dependence. Owing to the increase in popularity of copulas to measure dependent risks, generating from multivariate copulas has ...
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Frankʼs condition for multivariate Archimedean copulas
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