Nonparametric M-regression with free knot splines
From MaRDI portal
Publication:1763445
DOI10.1016/j.jspi.2003.05.002zbMath1085.62042OpenAlexW1966680497MaRDI QIDQ1763445
Publication date: 22 February 2005
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jspi.2003.05.002
Nonparametric regression and quantile regression (62G08) Numerical computation using splines (65D07) Asymptotic properties of nonparametric inference (62G20) Generalized linear models (logistic models) (62J12)
Related Items
Local linear estimate of the nonparametric robust regression in functional data, Robust regression analysis for a censored response and functional regressors
Cites Work
- Large-sample inference for log-spline models
- Asymptotics for M-type smoothing splines
- The dimensionality reduction principle for generalized additive models
- Additive regression and other nonparametric models
- Asymptotics for doubly flexible logspline response models
- Functional ANOVA models for generalized regression
- The use of polynomial splines and their tensor products in multivariate function estimation. (With discussion)
- Polynomial splines and their tensor products in extended linear modeling. (With discussions)
- Statistical modeling of diffusion processes with free knot splines
- Projection estimation in multiple regression with application to functional ANOVA models
- Bivariate tensor-product \(B\)-splines in a partly linear model
- Functional ANOVA modeling for proportional hazards regression.
- Free knot splines in concave extended linear modeling
- Convergence rate of b-spline estimators of nonparametric conditional quantile functions∗
- The L2 Rate of Convergence for Event History Regression with Time‐dependent Covariates
- On the rates of convergence of “minimum l1-norm” estimates in a partly linear model
- RATE OF CONVERGENCE FOR LOGSPLINE SPECTRAL DENSITY ESTIMATION
- Probability Inequalities for Sums of Bounded Random Variables
- Robust Estimation of a Location Parameter
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item