Simultaneous coefficient penalization and model selection in geographically weighted regression: the geographically weighted lasso.

A penalized form of geographically weighted regression (GWR), called the “geographically weighted lasso” (GWL), is presented. The GWL limits the magnitude of the estimated regression coefficients to constrain the impact of explanatory-variable correlation. It also conducts local model selection by...

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Publicado en:	Environment & Planning A Vol. 41; no. 3; pp. 722 - 743
Autor principal:	Wheeler, David C.
Formato:	Artículo
Publicado:	Pion Limited March 2009
Materias:	Geography > Methodology Geography > Statistical methods Regression analysis
Acceso en línea:	Ver este registro en EBSCOhost