<?xml version="1.0"?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://repozitorij.uni-lj.si/IzpisGradiva.php?id=176448"><dc:title>Extreme mass distributions for quasi-copulas</dc:title><dc:creator>Omladič,	Matjaž	(Avtor)
	</dc:creator><dc:creator>Vuk,	Martin	(Avtor)
	</dc:creator><dc:creator>Zalar,	Aljaž	(Avtor)
	</dc:creator><dc:subject>mass distribution</dc:subject><dc:subject>d-quasi-copula</dc:subject><dc:subject>volume</dc:subject><dc:subject>Lipschitz condition</dc:subject><dc:subject>bounds</dc:subject><dc:description>The recent survey [3] nicknamed “Hitchhiker’s Guide” has raised the rating of quasi-copula problems in the dependence modeling community in spite of the lack of statistical interpretation of quasi-copulas. In our previous work we addressed the question of extreme values of the mass distribution associated with a mutidimensional quasi–copulas. Using linear programming approach we were able to settle [3, Open Problem 5] up to $d = 17$ and disprove a recent conjecture from [14] on solution to that problem. In this note we use an analytical approach to provide a complete answer to the original question.</dc:description><dc:date>2026</dc:date><dc:date>2025-12-01 10:51:10</dc:date><dc:type>Članek v reviji</dc:type><dc:identifier>176448</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
