Results 91 to 100 of about 9,365 (302)
Multivariate dependence modeling using copulas [PDF]
There exist necessary and sufficient conditions on the generating functions of the FGM family, in order to obtain various dependence properties. We present multivariate generalizations of this class studying symmetry and dependence concepts, measuring ...
Maddalena Manzi, Marta Cardin
core
Bounds for Trivariate Copulas with Given Bivariate Marginals
Journal of Inequalities and Applications, 2008 We determine two constructions that, starting with two bivariate copulas, give rise to new bivariate and trivariate copulas, respectively. These constructions are used to determine pointwise upper and lower bounds for the class of all trivariate copulas ...
Quesada-Molina JoséJuan +2 more
doaj
Lorenz-generated bivariate Archimedean copulas
Dependence Modeling, 2020 A novel generating mechanism for non-strict bivariate Archimedean copulas via the Lorenz curve of a non-negative random variable is proposed. Lorenz curves have been extensively studied in economics and statistics to characterize wealth inequality and ...
Fontanari Andrea +2 more
doaj +1 more source
Mathematical Methods in the Applied Sciences, EarlyView.We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés +2 more
wiley +1 more source
Copulas : an open field for risk management [PDF]
, 2001 One of the main issues of risk management is the aggregation of individual risks. A powerful concept to aggregate the risks — the copula function — has been introduced in finance by Embrechts, McNeil, and Straumann [1999,2000].
Roncalli, Thierry +4 more
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Bivariate postprocessing of wind vectors
Quarterly Journal of the Royal Meteorological Society, EarlyView.We introduce three novel bivariate postprocessing approaches and analyze their performance for joint postprocessing of bivariate wind‐vector components in Germany. Bivariate vine‐copula‐based models, a bivariate gradient‐boosted version of ensemble model output statistics (EMOS), and a bivariate distributional regression network (DRN) are compared with
Ferdinand Buchner +3 more
wiley +1 more source
Convergence of Archimedean Copulas [PDF]
Convergence of a sequence of bivariate Archimedean copulas to another Archimedean copula or to the comonotone copula is shown to be equivalent with convergence of the corresponding sequence of Kendall distribution functions.No extra differentiability ...
Charpentier, A., Segers, J.J.J.
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Continuous Exchangeable Markov Chains, Idempotent and 1-Dependent Copulas
MathematicsNew copula families are constructed based on orthogonality in L2(0,1). Subclasses of idempotent copulas with square integrable densities are derived.
Martial Longla
doaj +1 more source
Statistical post‐processing of operational dual‐resolution wind‐speed ensemble forecasts
Quarterly Journal of the Royal Meteorological Society, EarlyView.The performance of raw and post‐processed 50‐member medium‐ and 100‐member extended‐range 10‐m wind‐speed forecasts of the European Centre for Medium‐Range Weather Forecasts and their various dual‐resolution combinations is investigated. Results show that post‐processing improves skill and reduces the differences between the various configurations ...
Sándor Baran, Mária Lakatos
wiley +1 more source
Nested Archimedean Copulas Meet R: The nacopula Package [PDF]
The package nacopula provides procedures for constructing nested Archimedean copulas in any dimensions and with any kind of nesting structure, generating vectors of random variates from the constructed objects, computing function values and probabilities
Marius Hofert, Martin Maechler
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