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AUTORES
Andrés Riquelme1.
1.Universidad de Talca, juriquelme@utalca.cl.
Resumen
The aim of this paper is to compare several model selection techniques in detren- ding the error process under spatially dependent data with correlated regressors. Among the available model selection methods I compare the Adaptive Lasso (alasso) estimator (Zou, 2006), the smoothly clipped absolute deviation (scad) estimator (Fan and Li, 2001), the least absolute shrinkage and selection (las- so) operator (Tibshirani, 1996) and elastic net estimator (Zou and Hastie, 2005). Among the various error processes I focus in fitting the Exponential covariance functions for the variogram estimation.
I found that the adaptive lasso is the best among the analyzed techniques.
Keywords: Shrinkage; Spatially dependent data; lasso variogram.
Participación en sesión: Métodos y modelos de análisis regional.