Results 61 to 70 of about 42,928 (197)
Archimedean Copula Estimation Parameter with Kendall Distribution Function
In the literature, up to now, it is common thatfor Gumbel, Clayton and Frank calculated Kendall Distribution function and to the extent those applications havebeen made.
Ayşe Metın Karakas +2 more
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Analysis and Application of Mechanical System Reliability Model Based on Copula Function
There is complicated correlations in mechanical system. By using the advantages of copula function to solve the related issues, this paper proposes the mechanical system reliability model based on copula function.
An Hai, Yin Hang, He Fukai
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Nested Copula Model for Overall Seismic Vulnerability Analysis of Multispan Bridges
Piers and bearings influence each other in earthquakes, and the failure of any component will affect the whole function of bridges. Thus, it is critical to consider the correlations between multiple components in the seismic vulnerability analysis of the
Ming Ma +4 more
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Multiplier bootstrap of tail copulas with applications
For the problem of estimating lower tail and upper tail copulas, we propose two bootstrap procedures for approximating the distribution of the corresponding empirical tail copulas. The first method uses a multiplier bootstrap of the empirical tail copula
Bücher, Axel, Dette, Holger
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Investigating dynamic dependence using copulae [PDF]
A general methodology for time series modelling is developed which works down from distributional properties to implied structural models including the standard regression relationship.
Bouyé, Eric +2 more
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Multi-dimensional scenario forecast for generation of multiple wind farms
A novel multi-dimensional scenario forecast approach which can capture the dynamic temporal-spatial interdependence relation among the outputs of multiple wind farms is proposed.
Ming Yang +4 more
doaj +1 more source
Improving Upon the Marginal Empirical Distribution Functions when the Copula is Known [PDF]
At the heart of the copula methodology in statistics is the idea of separating marginal distributions from the dependence structure. However, as shown in this paper, this separation is not to be taken for granted: in the model where the copula is known ...
Akker, R. van den +2 more
core +1 more source
Efficient estimation of parameters in marginals in semiparametric multivariate models [PDF]
Recent literature on semiparametric copula models focused on the situation when the marginals are specified nonparametrically and the copula function is given a parametric form.
Artem Prokhorov, Valentyn Panchenko
core
Implied volatility of basket options at extreme strikes
In the paper, we characterize the asymptotic behavior of the implied volatility of a basket call option at large and small strikes in a variety of settings with increasing generality.
A d’Aspremont +29 more
core +1 more source
Fitting Copulas with Maximal Entropy
We deal with two-dimensional copulas from the perspective of their differential entropy. We formulate a problem of finding a copula with maximum differential entropy when some copula values are given.
Milan Bubák, Mirko Navara
doaj +1 more source

