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Generative machine learning for multivariate angular simulation. [PDF]
Extremes (Boston)Wessel JB +2 more
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Copula-based multivariate analysis of hydrological drought over jiabharali sub-basin of Brahmaputra River, India. [PDF]
Sci RepChakma B +7 more
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Generating correlated data for omics simulation. [PDF]
PLoS Comput BiolYang J, Grant GR, Brooks TG.
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Probabilistic assessment of wind power plant energy potential through a copula-deep learning approach in decision trees. [PDF]
HeliyonŞahi N KN, Sutcu M.
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Entropy Methods on Finding Optimal Linear Combinations with an Application to Biomarkers. [PDF]
Entropy (Basel)İyisoy MS, Özdemir P.
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Multivariate Birnbaum-Saunders accelerated lifetime regression model: estimation and residual analysis. [PDF]
Sci RepOliveira MI, Cysneiros FJA, Barros M.
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Communications in Statistics - Theory and Methods, 2008 We present a new way of constructing n-copulas, by scaling and gluing finitely many n-copulas. Gluing for bivariate copulas produces a copula that coincides with the independence copula on some grid of horizontal and vertical sections. Examples illustrate how gluing can be applied to build complicated copulas from simple ones.
Karl Friedrich Siburg
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Compositions of Copulas and Quasi-Copulas
Information Sciences, 2004The object of the research here reported is the study of compositions of copulas, quasi-copulas and semicopulas by means of a two-place real function. Specifically, let A, B and O be mappings from [0, 1]2 into [0, 1], we characterize the properties of O which ensure O(A,B) is in the same class of A and B.
DURANTE, FABRIZIO, SEMPI, Carlo
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