Results 21 to 30 of about 4,426 (211)
On Construction of Bernstein-Bézier Type Bivariate Archimedean Copula
In this paper, a new class of bivariate multi-parameter Archimedean copula based on Kendall distribution using Bernstein-Bézier polynomials is introduced. The new class copula has flexible dependence properties depending on the polynomial degree and the
Selim Orhun Susam , Burcu Hudaverdi
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The copula function is an effective and elegant tool useful for modeling dependence between random variables. Among the many families of this function, one of the most prominent family of copula is the Archimedean family, which has its unique structure and features.
Moshe Kelner +2 more
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This study proposes a systematic methodology of the adoption of Internet of Things (IoT) barriers (IoTBs) that exist in the waste management structures of smart cities (SCs) in growing economies likely India.
Arunodaya R. Mishra +6 more
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Time Varying Hierarchical Archimedean Copulae [PDF]
There is increasing demand for models of time-varying and non-Gaussian dependencies for multivariate time-series. Available models suffer from the curse of dimensionality or restrictive assumptions on the parameters and the distribution. A promising class of models are the hierarchical Archimedean copulae (HAC) that allow for non-exchangeable and non ...
Wolfgang Karl Härdle +2 more
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Quantile Regression Based on the Weighted Approach with Dependent Truncated Data
This paper discusses the estimation of parameters in the quantile regression model for dependent truncated data. To account for the dependence between the survival time and the truncated time, the Archimedean copula model is used to construct the ...
Jin-Jian Hsieh, Cheng-Chih Hsieh
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In this paper, we consider parallel-series and series-parallel systems comprising dependent components that are drawn from a heterogeneous population consisting of m different subpopulations, and each subsystem is equipped with a starter device.
Narayanaswamy Balakrishnan +3 more
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Local Dependence for Bivariate Weibull Distributions Created by Archimedean Copula
In multivariate survival analysis, estimating the multivariate distribution functions and then measuring the association between survival times are of great interest.
Swar O. Ahmed +2 more
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Generative Archimedean Copulas
We propose a new generative modeling technique for learning multidimensional cumulative distribution functions (CDFs) in the form of copulas. Specifically, we consider certain classes of copulas known as Archimedean and hierarchical Archimedean copulas, popular for their parsimonious representation and ability to model different tail dependencies.
Ng, Yuting +3 more
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Evolution of coupled lives' dependency across generations and pricing impact [PDF]
This paper studies the dependence between coupled lives - both within and across generations - and its effects on prices of reversionary annuities in the presence of longevity risk.
Luciano, E., Spreeuw, J., Vigna, E.
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The Copula Derived from the SAHARA Utility Function
A new Archimedean copula family is presented that was derived from the SAHARA utility function introduced in the economic literature in 2011. Its properties are discussed, and its flexibility and versatility are demonstrated.
Jaap Spreeuw
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