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<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=169445"><dc:title>Extreme values of the mass distribution associated with d-quasi-copulas via linear programming</dc:title><dc:creator>Belšak,	Matej	(Avtor)
	</dc:creator><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 (J.J. Arias-García, R. Mesiar, B. De Baets, A hitchhiker’s guide to quasi-copulas, Fuzzy Sets Syst. 393 (2020) 1–28.) 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. This paper concentrates on Open Problem 5 of this list concerning bounds on the volume of a d-variate quasi-copula. We disprove a recent conjecture (M. Úbeda-Flores, Extreme values of the mass distribution associated with a tetravariate quasi-copula, Fuzzy Sets Syst. 473 (2023).) on the lower bound of this volume. We also give evidence that the problem is much more difficult than suspected, and give some hints towards its final solution.</dc:description><dc:date>2025</dc:date><dc:date>2025-05-28 15:19:13</dc:date><dc:type>Članek v reviji</dc:type><dc:identifier>169445</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
