Curve estimation when the design density is low
From MaRDI portal
Publication:1359422
DOI10.1214/aos/1031833672zbMath0874.62037OpenAlexW2073711059MaRDI QIDQ1359422
Michael H. Neumann, Michael D. Titterington, James Stephen Marron, Hall, Peter
Publication date: 18 August 1997
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1214/aos/1031833672
Related Items
On nonparametric kernel estimation of the mode of the regression function in the random design model, On nonparametric estimation of intercept and slope distributions in random coefficient regression, Minimax pointwise estimation of an anisotropic regression function with unknown density of the design, Kernel regression estimators for nonparametric model calibration in survey sampling, Breaking the curse of dimensionality in nonparametric testing, Design adaptive nearest neighbor regression estimation
Cites Work
- Multivariate locally weighted least squares regression
- Optimal smoothing in single-index models
- Local linear regression smoothers and their minimax efficiencies
- Finite-Sample Variance of Local Polynomials: Analysis and Solutions
- Asymptotically optimal difference-based estimation of variance in nonparametric regression
- Nonparametric estimation of residual variance revisited
- Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting
- A Flexible and Fast Method for Automatic Smoothing
- On variance estimation in nonparametric regression
- The estimation of residual variance in nonparametric regression
- Residual variance and residual pattern in nonlinear regression
- A graphical method for estimating the residual variance in nonparametric regression
- Robust Locally Weighted Regression and Smoothing Scatterplots
- Design-adaptive Nonparametric Regression
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
