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On tail dependence for Grubbs’ copula-function
Russian Mathematics, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Bivariate copula-based aggregation functions
2007This paper presents the role of copula functions in the theory of aggregation operators. In this context we are focusing our attention about several properties of aggregation functions, like supermodularity and Schur-concavity, studying also a decomposition of supermodular binary aggregation operators and copulae.
Cardin M., MANZI, MADDALENA
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Copula functions and dependency concepts
2014Modeling default of several obligors implies modeling the default probability of the single obligor as well as the dependence structure between obligors.
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Copula Functions in Model Based Clustering
2006Model based clustering is common approach used in cluster analysis. Here each cluster is characterized by some kind of model, for example — multivariate distribution, regression, principal component etc. One of the most well known approaches in model based clustering is the one proposed by Banfield and Raftery (1993), where each class is described by ...
Krzysztof Jajuga, Daniel Papla
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Copula functions on probabilistic robust analysis
2009 35th Annual Conference of IEEE Industrial Electronics, 2009Approaches in probabilistic robust analysis either assume a priori knowledge of the distribution function of the uncertainty, or impose independence and other constrains, for distribution-free results. The scope of this paper is the former. The goal is to ease the task of fitting a joint probability function to a data set.
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Some Observations on Copula Regression Functions
Communications in Statistics - Theory and Methods, 2005The main objective of this article is to introduce an alternative way of looking at regression analysis by using copulas. To achieve our objective we work on copula regression function, study its properties, and discuss advantages that will come out from our approach.
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Bernstein copula characteristic function
Communications in Statistics - Theory and Methods, 2023openaire +1 more source
Application of Copula functions in statistics
2007Studying associations among multivariate outcomes is an interesting problem in statistical science. The dependence between random variables is completely described by their multivariate distribution. When the multivariate distribution has a simple form, standard methods can be used to make inference.
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The expanding regulatory mechanisms and cellular functions of circular RNAs
Nature Reviews Molecular Cell Biology, 2020Ling-Ling Chen
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