Latent class DEDICOM

被引:0
作者
Takane, Y [1 ]
Kiers, HAL [1 ]
机构
[1] McGill Univ, Dept Psychol, Montreal, PQ H3A 2T5, Canada
来源
JOINT 9TH IFSA WORLD CONGRESS AND 20TH NAFIPS INTERNATIONAL CONFERENCE, PROCEEDINGS, VOLS. 1-5 | 2001年
关键词
mobility tables; latent class models; maximum penalized likelihood (MPL) method; EM algorithm; regularized information criterion (RIC);
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A probabilistic DEDICOM model was proposed for mobility tables. The model attempts to explain observed transition probabilities by a latent mobility table and a set of transition probabilities from latent classes to observed classes. The model captures asymmetry in observed mobility tables by asymmetric latent mobility tables. It may be viewed as a special case of both the latent class model and DEDICOM with special constraints. A maximum penalized likelihood (MPL) method was developed for parameter estimation. The EM algorithm was adapted for the MPL estimation. An example was given to illustrate the proposed method.
引用
收藏
页码:2177 / 2182
页数:6
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