Please use this identifier to cite or link to this item:
http://hdl.handle.net/10071/13940
Author(s): | Marques, A. Ferreira, A. S. Cardoso, M. G. M. S. |
Date: | 2013 |
Title: | Selection of variables in Discrete Discriminant Analysis |
Volume: | 50 |
Number: | 1 |
ISSN: | 1896-3811 |
DOI (Digital Object Identifier): | 10.2478/bile-2013-0013 |
Keywords: | Combining models Discrete Discriminant Analysis Variable selection |
Abstract: | In Discrete Discriminant Analysis one often has to deal with dimensionality problems. In fact, even a moderate number of explanatory variables leads to an enormous number of possible states (outcomes) when compared to the number of objects under study, as occurs particularly in the social sciences, humanities and health-related elds. As a consequence, classi cation or discriminant models may exhibit poor performance due to the large number of parameters to be estimated. In the present paper, we discuss variable selection techniques which aim to address the issue of dimensionality. We speci cally perform classi cation using a combined model approach. In this setting, variable selection is particularly pertinent, enabling the handling of degrees of freedom and reducing computational cost. |
Peerreviewed: | yes |
Access type: | Open Access |
Appears in Collections: | BRU-RI - Artigos em revistas científicas internacionais com arbitragem científica |
Files in This Item:
File | Description | Size | Format | |
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Selection of variables in Discrete Discriminant Analysis.pdf | 783,17 kB | Adobe PDF | View/Open |
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