Please use this identifier to cite or link to this item: http://arl.liuc.it/dspace/handle/2468/6572
Title: Copula-based non-metric unfolding onaugmented data matrix
Authors: Nai Ruscone, Marta
D'Ambrosio, Antonio
Issue Date: 2019
Publisher: Dipartimento di economia e giurisprudenza, Università degli studi di Cassino e del Lazio meridionale
Bibliographic citation: Nai Ruscone Marta, D'Ambrosio Antonio (2019), Copula-based non-metric unfolding onaugmented data matrix. In: Porzio Giovanni C., Greselin Francesca, Balzano Simona, ed., CLADAG 2019, 11-13 September 2019, Cassino: book of short papers. Cassino: Dipartimento di economia e giurisprudenza, Università degli studi di Cassino e del Lazio meridionale, p. 433-436.
Abstract: A multidimensional unfolding technique that is not prone to degener-ate solutions and is based on multidimensional scaling of a complete data matrix isproposed. We adopt the strategy of augmenting the data matrix, trying to build acomplete dissimilarity matrix, by using Copulas-based association measures amongrankings (the individuals), and between rankings and objects (namely, a rank-orderrepresentation of the objects through tied rankings). The proposed technique leads toacceptable recovery of given preference structures.
URI: http://arl.liuc.it/dspace/handle/2468/6572
Journal/Book: CLADAG 2019, 11-13 September 2019, Cassino: book of short papers
Appears in Collections:Contributo in atti di convegno

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