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Multi-class logistic discrimination via wavelet-based functionalization and model selection criteria
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| 概要 | We consider a multi-class logistic discrimination for functional data. We use a wavelet-based smoothing technique in obtaining a set of functional data, from irregularly sampled time-dependent covaria...tes of a number of individuals. A method of estimating discriminant model is based on a regularized log-likelihood, where we apply model selection criteria derived from Kullback-Leibler information and Bayes’ analysis.続きを見る |
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| 登録日 | 2009.04.22 |
| 更新日 | 2018.02.23 |
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