Variable selection for spatial semivarying coefficient models

DOI10.1007/s10463-016-0589-2zbMath1387.62056OpenAlexW2564805232MaRDI QIDQ1744709

Kang-Ning Wang

Publication date: 19 April 2018

Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10463-016-0589-2

zbMATH Keywords

robustnessheterogeneityvariable selectionoracle propertypenalized M-type estimator

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Nonparametric robustness (62G35) Applications of statistics to social sciences (62P25)

Related Items (1)

Variable selection of partially linear varying coefficient spatial autoregressive model

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Variable selection in robust semiparametric modeling for longitudinal data
• Local linear spatial quantile regression
• Penalized maximum likelihood estimation and variable selection in geostatistics
• Conditional growth charts. (With discussion and rejoinder)
• Kernel density estimation on random fields
• One-step sparse estimates in nonconcave penalized likelihood models
• Variable selection in nonparametric additive models
• Quantile regression in partially linear varying coefficient models
• B-spline estimation for varying coefficient regression with spatial data
• Nearest neighbor estimators for random fields
• Hedonic housing prices and the demand for clean air
• Nonlinear time series. Nonparametric and parametric methods
• Local likelihood density estimation on random fields
• Variable selection of varying coefficient models in quantile regression
• Estimation and model selection in generalized additive partial linear models for correlated data with diverging number of covariates
• Variable selection in quantile varying coefficient models with longitudinal data
• Local linear spatial regression
• New efficient estimation and variable selection methods for semiparametric varying-coefficient partially linear models
• Robust and efficient variable selection for semiparametric partially linear varying coefficient model based on modal regression
• Estimating spatial quantile regression with functional coefficients: a robust semiparametric framework
• Exploring spatial nonlinearity using additive approximation
• Estimation in semiparametric spatial regression
• Variable selection using MM algorithms
• Variable selection in spatial regression via penalized least squares
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• Varying-coefficient models and basis function approximations for the analysis of repeated measurements
• On Selection of Spatial Linear Models for Lattice Data
• Nonparametric Estimation of Probability Density Functions for Irregularly Observed Spatial Data
• Robust estimation for functional coefficient regression models with spatial data
• Shrinkage Estimation of the Varying Coefficient Model
• Variable Selection in Nonparametric Varying-Coefficient Models for Analysis of Repeated Measurements
• New Estimation and Model Selection Procedures for Semiparametric Modeling in Longitudinal Data Analysis
• A selective review of group selection in high-dimensional models

This page was built for publication: Variable selection for spatial semivarying coefficient models