<プレプリント>
Multi-class logistic discrimination via wavelet-based functionalization and model selection criteria
作成者 | |
---|---|
本文言語 | |
出版者 | |
発行日 | |
収録物名 | |
巻 | |
出版タイプ | |
アクセス権 | |
関連DOI | |
関連URI | |
関連情報 | |
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 |
詳細
レコードID | |
---|---|
査読有無 | |
主題 | |
注記 | |
タイプ | |
登録日 | 2009.04.22 |
更新日 | 2018.02.23 |