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Sparse Boosting for Additive Spatial Autoregressive Model with High Dimensionality

Variable selection methods have been a focus in the context of econometrics and statistics literature. In this paper, we consider additive spatial autoregressive model with high-dimensional covariates. Instead of adopting the traditional regularization approaches, we offer a novel multi-step sparse...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Mu Yue, Jingxin Xi
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2025-02-01
Schriftenreihe:Mathematics
Schlagworte:
sparse boosting
variable selection
spatial autoregressive model
additive model
instrument variable
Online-Zugang:https://www.mdpi.com/2227-7390/13/5/757
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