Sparse spatially clustered coefficient model via adaptive regularization
type: Item
instance of: scholarly article
title: Sparse spatially clustered coefficient model via adaptive regularization
author: Yan Zhong
author: Huiyan Sang
author: Scott Cook
author: Paul M. Kellstedt
published in: Computational Statistics and Data Analysis
publication date: 2022-10-17T00:00:00Z
Mathematics Subject Classification ID: 62-XX
zbMATH DE Number: 7602496
zbMATH Keywords: spatial variable selection
zbMATH Keywords: variable-dependent graph
zbMATH Keywords: varying coefficient regression
zbMATH Keywords: COVID-19 vaccination acceptance
describes a project that uses: condat_tv
MaRDI profile type: Publication
full work available at URL: j.csda.2022.107581
OpenAlex ID: W4288734189
cites work: Modular proximal optimization for multidimensional total-variation regularization
cites work: A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
cites work: Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
cites work: Statistics for high-dimensional data. Methods, theory and applications.
cites work: Convex and non-convex regularization methods for spatial point processes intensity estimation
cites work: Tuning Parameter Selection in High Dimensional Penalized Likelihood
cites work: Variable selection for binary spatial regression: Penalized quasi‐likelihood approach
cites work: Spatial Modeling With Spatially Varying Coefficient Processes
cites work: Q5251797
cites work: A selective review of group selection in high-dimensional models
cites work: Generalized Spatially Varying Coefficient Models
cites work: Two-Dimensional Voronoi Diagrams in the L p -Metric
cites work: Q4998918
cites work: The DFS Fused Lasso: Linear-Time Denoising over General Graphs
cites work: Bayesian Variable Selection for Multivariate Spatially Varying Coefficient Regression
cites work: Flexible and Fast Spatial Return Level Estimation Via a Spatially Fused Penalty
cites work: Grouping Pursuit Through a Regularization Solution Surface
cites work: Autologistic network model on binary data for disease progression study
cites work: Spatial Bayesian Variable Selection With Application to Functional Magnetic Resonance Imaging
cites work: Regularized Estimating Equations for Model Selection of Clustered Spatial Point Processes
cites work: A note on adaptive group Lasso
cites work: On Selection of Spatial Linear Models for Lattice Data
cites work: The Adaptive Lasso and Its Oracle Properties
cites work: Regularization and Variable Selection Via the Elastic Net
DOI: 10.1016/J.CSDA.2022.107581
description: scientific article; zbMATH DE number 7602496