Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.26/8127
Título: Combining models in discrete discriminant analysis in the multiclass case
Autor: Marques, Anabela
Ferreira, Ana Sousa
Cardoso, Margarida
Palavras-chave: Combining model
Discrete discriminant analysis
First-order independence model
Dependence trees model
Data: 2008
Editora: Faculdade de Economia da Universidade do Porto
Citação: In COMPSTAST'2008: Book of abstracts. (2008). Porto: FEP
Resumo: The idea of combining models in Discrete Discriminant Analysis (DDA) is present in a growing number of papers which aim to obtain more robust and more stable models than any of the competing ones. This seems to be a promising approach since it is known that different DDA models perform differently on different subjects (Brito et al.(2006)). In particular, this will be a more relevant issue if the groups are not well separated, which often occurs in practice. In the present work a new methodological approach is suggested which is based on DDA models' combination. The multiclass problem is decomposed into several dichotomous problems that are nested in a hierarchical binary tree (Sousa Ferreira (2000), Brito et al. (2006)) and at each level of the binary tree a new combining model is proposed to derive the decision rule. This combining model is based on two well known models in the literature - the First-order Independence Model (FOIM) and the Dependence Trees Model (DTM) (Celeux and Nakache (1994)). The MATLAB software is used for the algorithms' implementation and the proposed approach is illustrated in a DDA application.
Descrição: Resumo de comunicação oral em póster apresentado em COMPSTAT2008 - 18th International Conference on Computational Statistics, Porto, Portugal, 24 a 29 de Agosto 2008
Peer review: yes
URI: http://hdl.handle.net/10400.26/8127
Aparece nas colecções:IPS - ESTB - SMG - Comunicações em congressos

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