Least absolute deviation estimate for functional coefficient partially linear regression models
From MaRDI portal
Publication:1929689
DOI10.1155/2012/131085zbMath1282.62160OpenAlexW2050770101WikidataQ58910949 ScholiaQ58910949MaRDI QIDQ1929689
Guoxin Zuo, Li Liu, Yanqin Feng
Publication date: 9 January 2013
Published in: Journal of Probability and Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2012/131085
Ridge regression; shrinkage estimators (Lasso) (62J07) Linear regression; mixed models (62J05) Nonparametric estimation (62G05)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Statistical estimation in varying coefficient models
- Efficient estimation of a semiparametric partially linear varying coefficient model
- Asymptotic normality of \(L_ 1\)-estimators in nonlinear regression
- Nonparametric time series prediction: A semi-functional partial linear modeling
- Functional-coefficient partially linear regression model
- Robust, Adaptive Functional Regression in Functional Mixed Model Framework
- Nonparametric smoothing estimates of time-varying coefficient models with longitudinal data
- The L 1 Method for Robust Nonparametric Regression
- Smoothing Spline Estimation for Varying Coefficient Models With Repeatedly Measured Dependent Variables
- Asymptotic Confidence Regions for Kernel Smoothing of a Varying-Coefficient Model with Longitudinal Data
- L1-estimation for varying coefficient models