Globally consistent model selection in semi-parametric additive coefficient models
From MaRDI portal
Publication:3455264
DOI10.1080/10485252.2015.1083566zbMath1330.62192OpenAlexW1940211080MaRDI QIDQ3455264
Publication date: 4 December 2015
Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10485252.2015.1083566
Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20)
Cites Work
- Unnamed Item
- One-step sparse estimates in nonconcave penalized likelihood models
- Variable selection in nonparametric additive models
- Additive regression and other nonparametric models
- Semiparametric least squares (SLS) and weighted SLS estimation of single-index models
- Simultaneous variable selection and estimation in semiparametric modeling of longitudinal/clustered data
- Estimation of semi-parametric additive coefficient model
- Variable selection and estimation in high-dimensional varying-coefficient models
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Varying-coefficient models and basis function approximations for the analysis of repeated measurements
- SPLINE-BACKFITTED KERNEL SMOOTHING OF ADDITIVE COEFFICIENT MODEL
- Consistent Model Selection for Marginal Generalized Additive Model for Correlated Data
- Lag selection in stochastic additive models
- Variable Selection in Nonparametric Varying-Coefficient Models for Analysis of Repeated Measurements
- Smoothly Clipped Absolute Deviation on High Dimensions
- Model Selection and Estimation in Regression with Grouped Variables
- A practical guide to splines.
This page was built for publication: Globally consistent model selection in semi-parametric additive coefficient models