Results 41 to 50 of about 1,401 (188)
A Copula-Based Bivariate Composite Model for Modelling Claim Costs
MathematicsThis paper aims to develop a new family of bivariate distributions for modelling different types of claims and their associated costs jointly in a flexible manner.
Girish Aradhye +2 more
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New Bivariate Pareto Type II Models
Entropy, 2019 Pareto type II distribution has been studied from many statisticians due to its important role in reliability modelling and lifetime testing. In this article, we introduce two bivariate Pareto Type II distributions; one is derived from copula and the ...
Lamya Baharith, Hind Alzahrani
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Bivariate copula in Johor rainfall data [PDF]
AIP Conference Proceedings, 2016 Copula is a probability distribution that allows a joint distribution function build from different univariate marginal distribution function. The climate in Malaysia is very humid, which cause the rainfall data is usually skewed. Gumbel, Clayton and skew t copula are distributions that good in analyze data that is extreme.
Kong Ching Yee +3 more
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Robust Bernoulli Mixture Models for Credit Portfolio Risk
Mathematical Finance, EarlyView.ABSTRACT This paper presents comparison results and establishes risk bounds for credit portfolios within classes of Bernoulli mixture models, assuming conditionally independent defaults that are stochastically increasing in a common risk factor. We provide simple and interpretable conditions on conditional default probabilities that imply a comparison ...
Jonathan Ansari, Eva Lütkebohmert
wiley +1 more source
Testing the symmetry of a dependence structure with a characteristic function
Dependence Modeling, 2018 This paper proposes competing procedures to the tests of symmetry for bivariate copulas of Genest, Nešlehová and Quessy (2012). To this end, the null hypothesis of symmetry is expressed in terms of the copula characteristic function that uniquely ...
Bahraoui Tarik +2 more
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On a Bivariate XGamma Distribution Derived from Copula
Statistica, 2022 In this paper, a new bivariate XGamma (BXG) distribution is presented using Farlie-Gumbel-Morgenstern (FGM) copula. We derive the expressions for conditional distribution, regression function and product moments for the BXG distribution.
Mohammed Abulebda +3 more
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Semiparametric bivariate extreme-value copulas
, 2021 Extreme-value copulas arise as the limiting dependence structure of component-wise maxima. Defined in terms of a functional parameter, they are one of the most widespread copula families due to their flexibility and ability to capture asymmetry. Despite this, meeting the complex analytical properties of this parameter in an unconstrained setting ...
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Copulas for bivariate probability distributions
Electronics Letters, 2007 Copulas offer interesting insights into the dependence structures between the distributions of random variables. This report introduces new copulas, and provides an analysis for copulas, associated with bivariate exponential and Rayleigh distributions that have relevance to signal processing.
Durrani, T.S., Xueing, Z.
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Systemic risk in the insurance sector: A semi‐parametric approach based on Spearman's rho
Risk Management and Insurance Review, EarlyView.Abstract We propose a new method to measure systemic risk in the global insurance sector by analyzing interconnectedness among firms under different market conditions. Using a semi‐parametric approach that relies on the Spearman correlation and copula‐based partial dependence, we assess relationships in relatively stable, extremely bullish, and ...
Leonardo Iania +2 more
wiley +1 more source
Alexandria Engineering JournalThe bivariate FGM Entropy-Transformed model is a new, flexible family of generalized bivariate distributions based on the FGM copula. The bivariate FGM Entropy-Transformed Weibull model is a new model that we developed based on the FGM copula and Entropy-
Tabassum Naz Sindhu +3 more
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