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Published in 2017 at "International Journal of Fuzzy Systems"
DOI: 10.1007/978-3-662-53692-6_6
Abstract: Empirical copula is a non-parametric algorithm to estimate the dependence structure of high-dimensional arbitrarily distributed data. The computation of empirical copula is, however, very costly so that it cannot be implemented into applications at a…
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Keywords:
empirical copula;
copula;
fuzzy empirical;
dependence structure ... See more keywords
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Published in 2017 at "Theoretical and Applied Climatology"
DOI: 10.1007/s00704-017-2187-5
Abstract: IPCC reports that a changing climate can affect the frequency and the intensity of extreme events. However, the extremes appear in the tail of the probability distribution. In order to know the relationship between extreme…
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Keywords:
dependence structure;
temperature precipitation;
dependence;
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Published in 2020 at "GPS Solutions"
DOI: 10.1007/s10291-020-01044-4
Abstract: Modeling and understanding the statistical relationships between geophysical quantities is a crucial prerequisite for many geodetic applications. While these relationships can depend on multiple variables and their interactions, commonly used scalar methods like the (cross)…
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Keywords:
zenith tropospheric;
statistical relationships;
dependence structure;
complex terrain ... See more keywords
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Published in 2017 at "Annals of Operations Research"
DOI: 10.1007/s10479-017-2487-2
Abstract: Copulas are one of the most powerful tools in modeling dependence structure of multivariate variables. In Tran et al. (Integrated uncertainty in knowledge modelling and decision making. Springer, Berlin, pp 126–137, 2015), we have constructed…
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Keywords:
dependence;
measure;
structure distorted;
dependence structure ... See more keywords
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Published in 2017 at "Applied Ocean Research"
DOI: 10.1016/j.apor.2017.02.006
Abstract: Abstract A key factor for computing environmental contours is the appropriate modeling of the dependence structure among the environmental variables. It is known that all the information on the dependence structure of a set of…
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Keywords:
uncertainty;
parametric uncertainty;
uncertainty environmental;
dependence structure ... See more keywords
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Published in 2018 at "Structural Safety"
DOI: 10.1016/j.strusafe.2018.05.006
Abstract: Abstract The spatial fluctuation of material properties is commonly modeled using random fields. However, descriptions of random fields in terms of marginal distributions and correlation structure are actually incomplete. The copulas that specify the dependence…
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Keywords:
dependence structure;
random fields;
gaussian dependence;
dependence ... See more keywords
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Published in 2020 at "Applied Economics"
DOI: 10.1080/00036846.2020.1763244
Abstract: ABSTRACT The aim of this paper is to investigate the regional interdependence structure of energy equities in the US and in the EU. Based on weekly stock prices of 28 big energy firms in the…
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Keywords:
energy;
dependence structure;
copula;
energy equity ... See more keywords
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Published in 2019 at "Journal of the American Statistical Association"
DOI: 10.1080/01621459.2017.1390466
Abstract: ABSTRACT Graphical models have attracted increasing attention in recent years, especially in settings involving high-dimensional data. In particular, Gaussian graphical models are used to model the conditional dependence structure among multiple Gaussian random variables. As…
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Keywords:
high dimensional;
conditional dependence;
functional graphical;
dependence structure ... See more keywords
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Published in 2019 at "International Journal of General Systems"
DOI: 10.1080/03081079.2019.1579211
Abstract: ABSTRACT The aim of the paper is to discuss the important role of the dependence structure in risk management. Therefore, we focus on credit-risk and propose an innovative model to value the credit risk of…
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Keywords:
dependence structure;
credit risk;
risk;
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Published in 2017 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2016.1248785
Abstract: ABSTRACT Consider the randomly weighted sums Sm(θ) = ∑mi = 1θiXi, 1 ⩽ m ⩽ n, and their maxima Mn(θ) = max 1 ⩽ m ⩽ nSm(θ), where Xi, 1 ⩽ i ⩽ n, are real-valued…
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Keywords:
dependence structure;
weighted sums;
randomly weighted;
sums maxima ... See more keywords
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Published in 2019 at "Emerging Markets Finance and Trade"
DOI: 10.1080/1540496x.2019.1615434
Abstract: ABSTRACT To investigate changes in the dependence structure between China’s stock market and other important international stock markets as a result of the 2008 global financial crisis, the ARMA-GARCH skewed-t Vine Copula method is used…
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Keywords:
stock markets;
crisis;
dependence structure;
stock ... See more keywords