Results 181 to 190 of about 927 (219)
Optimal scheduling of electricity and hydrogen integrated energy system considering multiple uncertainties. [PDF]
Chang P, Li C, Zhu Q, Zhu T, Shi J.
europepmc +1 more source
Projections of meteorological drought severity-duration variations based on CMIP6. [PDF]
Behzadi F +7 more
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On a generalization of Archimedean copula family
This paper introduces a new family of multivariate copula functions defined by two generators, which is a multi-dimensional extension of the bivariate copula presented in Durante et al. (2007a).
Jingping Yang
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Semiparametric bivariate Archimedean copulas
Computational Statistics & Data Analysis, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
José Miguel Hernández-Lobato +1 more
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Computational Statistics & Data Analysis, 2008
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Frankʼs condition for multivariate Archimedean copulas
Fuzzy Sets and Systems, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Arturo Erdely +2 more
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Hierarchies of Archimedean copulas
Quantitative Finance, 2009We present a flexible class of hierarchical copulas capable of modelling multidimensional joint distributions of asset returns with a richer rank correlation structure than existing models. We derive estimators and simulation techniques. The methods are applied to an illustrative portfolio consisting of a subset of DAX stocks.
Cornelia Savu, Mark Trede
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Copula estimation of distribution algorithms based on exchangeable Archimedean copula
International Journal of Computer Applications in Technology, 2012The two key operators in estimation of distribution algorithms (EDAs) are estimating the distribution model according to the selected population and sampling new individuals from the estimated model. Copula EDA introduces the copula theory into EDA.
Yi Hong
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Simulating from Exchangeable Archimedean Copulas
Communications in Statistics - 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 ...
Florence Wu +2 more
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Estimating Archimedean Copulas in High Dimensions
Scandinavian Journal of Statistics, 2012Abstract. This article presents a novel estimation procedure for high‐dimensional Archimedean copulas. In contrast to maximum likelihood estimation, the method presented here does not require derivatives of the Archimedean generator. This is computationally advantageous for high‐dimensional Archimedean copulas in which higher‐order derivatives are ...
Hering, Christian, Stadtmüller, Ulrich
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