Application of LASSO to the Eigenvector Selection Problem in Eigenvector‐based Spatial Filtering

Eigenvector‐based spatial filtering is one of the often used approaches to model spatial autocorrelation among the observations or errors in a regression model. In this approach, a subset of eigenvectors extracted from a modified spatial weight matrix is added to the model as explanatory variables....

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Veröffentlicht in:	Geographical analysis 2015-07, Vol.47 (3), p.284-299
Hauptverfasser:	Seya, Hajime, Murakami, Daisuke, Tsutsumi, Morito, Yamagata, Yoshiki
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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