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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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Pair-copula constructions of multiple dependence
Insurance: Mathematics and Economics, 2009Claudia Czado, Arnoldo Frigessi
exaly
Copula-based reliability analysis of degrading systems with dependent failures
Reliability Engineering and System Safety, 2020Guanqi Fang, Rong Pan, Yili Hong
exaly