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Application of LASSO to the Eigenvector Selection Problem in Eigenvector-based Spatial Filtering
http://hdl.handle.net/2241/00126241
http://hdl.handle.net/2241/001262418d81b42b-37c7-47c3-be5a-923deee3ce0e
名前 / ファイル | ライセンス | アクション |
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GA_47-3 (433.5 kB)
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Item type | Journal Article(1) | |||||
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公開日 | 2015-09-09 | |||||
タイトル | ||||||
タイトル | Application of LASSO to the Eigenvector Selection Problem in Eigenvector-based Spatial Filtering | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源 | http://purl.org/coar/resource_type/c_6501 | |||||
タイプ | journal article | |||||
著者 |
Seya, Hajime
× Seya, Hajime× Murakami, Daisuke× Tsutsumi, Morito× Yamagata, Yoshiki |
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著者別名 |
堤, 盛人
× 堤, 盛人 |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Eigenvector based spatial filtering is one of the well-used approaches to model spatial autocorrelation among the observations or errors in a regression model. In this approach, subset of eigenvectors extracted from a modified spatial weight matrix is added to the model as explanatory variables. The subset is typically specified via the forward stepwise model selection procedure, but it is disappointingly slow when the number of observations n takes a large number. Hence as a complement or alternative, the present paper proposes the use of the least absolute shrinkage and selection operator (LASSO) to select the eigenvectors. The LASSO model selection procedure is applied to the well-known Boston housing dataset and simulation dataset, and its performance is compared with the stepwise procedure. The obtained results suggest that the LASSO procedure is fairly fast compared to the stepwise procedure, and can select eigenvectors effectively even if dataset is relatively large (n = 104), to which the forward stepwise procedure is not easy to apply. | |||||
書誌情報 |
Geographical analysis 巻 47, 号 3, p. 284-299, 発行日 2015-07 |
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ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 15384632 | |||||
書誌レコードID | ||||||
収録物識別子タイプ | NCID | |||||
収録物識別子 | AA12656785 | |||||
DOI | ||||||
識別子タイプ | DOI | |||||
関連識別子 | 10.1111/gean.12054 | |||||
権利 | ||||||
権利情報 | © 2014 The Ohio State University | |||||
著者版フラグ | ||||||
値 | author | |||||
出版者 | ||||||
出版者 | Ohio State University Press |