New efficient spline estimation for varying-coefficient models with two-step knot number selection
From MaRDI portal
Publication:2044766
DOI10.1007/s00184-020-00798-8zbMath1472.62035OpenAlexW3090502697MaRDI QIDQ2044766
Jun Jin, JiaJia Dai, Tie-Feng Ma
Publication date: 10 August 2021
Published in: Metrika (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00184-020-00798-8
Numerical computation using splines (65D07) Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10)
Cites Work
- Statistical methods with varying coefficient models
- Two-step likelihood estimation procedure for varying-coefficient models
- Variable selection for semiparametric varying coefficient partially linear models
- A simple approach for varying-coefficient model selection
- Generalized likelihood ratio test for varying-coefficient models with different smoothing variables
- Asymptotic integrated mean square error using least squares and bias minimizing splines
- A practical guide to splines
- Statistical estimation in varying coefficient models
- Variable bandwidth selection in varying-coefficient models
- Local asymptotics for regression splines and confidence regions
- Simultaneous Confidence Bands and Hypothesis Testing in Varying-coefficient Models
- Local Asymptotics for B-Spline Estimators of the Varying Coefficient Model
- Convergence rate of b-spline estimators of nonparametric conditional quantile functions∗
- M-estimation and B-spline approximation for varying coefficient models with longitudinal data
- Empirical Likelihood Semiparametric Regression Analysis for Longitudinal Data
- Nonparametric smoothing estimates of time-varying coefficient models with longitudinal data
- Smoothing Spline Estimation for Varying Coefficient Models With Repeatedly Measured Dependent Variables
- Local Linear Estimation for Time‐Dependent Coefficients in Cox's Regression Models
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Spatial Modeling With Spatially Varying Coefficient Processes
- Efficient Estimation and Inferences for Varying-Coefficient Models
- Varying-coefficient models and basis function approximations for the analysis of repeated measurements
- Smoothing Spline Estimation in Varying-Coefficient Models
- Estimation and Identification of a Varying-Coefficient Additive Model for Locally Stationary Processes
- Shrinkage Estimation of the Varying Coefficient Model
- Empirical Likelihood for a Varying Coefficient Model With Longitudinal Data
- 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
- On the Cox Model With Time-Varying Regression Coefficients
- Unnamed Item
- Unnamed Item
This page was built for publication: New efficient spline estimation for varying-coefficient models with two-step knot number selection