Variable Selection of Heterogeneous Spatial Autoregressive Models via Double-Penalized Likelihood
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DOI: 10.3390/sym14061200
Abstract: Heteroscedasticity is often encountered in spatial-data analysis, so a new class of heterogeneous spatial autoregressive models is introduced in this paper, where the variance parameters are allowed to depend on some explanatory variables. Here, we… read more here.
Keywords: via double; autoregressive models; double penalized; spatial autoregressive ... See more keywords
Double Penalized Expectile Regression for Linear Mixed Effects Model
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DOI: 10.3390/sym14081538
Abstract: This paper constructs the double penalized expectile regression for linear mixed effects model, which can estimate coefficient and choose variable for random and fixed effects simultaneously. The method based on the linear mixed effects model… read more here.
Keywords: mixed effects; regression; double penalized; penalized expectile ... See more keywords