On spline estimators and prediction intervals in nonparametric regression.
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Publication:1589489
DOI10.1016/S0167-9473(99)00116-4zbMath1142.62340OpenAlexW2054143501WikidataQ127977212 ScholiaQ127977212MaRDI QIDQ1589489
Publication date: 12 December 2000
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0167-9473(99)00116-4
AICBICPolynomial splinesInformation criterionStepwise knot deletionKnot selectionQuantile regression functionStepwise knot addition
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Cites Work
- Unnamed Item
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- Nonparametric estimates of regression quantiles and their local Bahadur representation
- Up- and down-dating procedures for linear \(L_ 1\) regression
- Asymptotic properties of kernel estimators based on local medians
- Multivariate adaptive regression splines
- Estimating the dimension of a model
- A practical guide to splines
- On average derivative quantile regression
- Bivariate tensor-product \(B\)-splines in a partly linear model
- Nonparametric estimation of global functionals and a measure of the explanatory power of covariates in regression
- Convergence rate of b-spline estimators of nonparametric conditional quantile functions∗
- Estimating Optimal Transformations for Multiple Regression and Correlation
- Flexible Parsimonious Smoothing and Additive Modeling
- Comparing Automatic Smoothers (A Public Service Enterprise)
- Regression Quantiles
- Asymptotic Theory of Least Absolute Error Regression
- Quantile smoothing splines
- Hazard Regression
- An Improved Algorithm for Discrete $l_1 $ Linear Approximation
- A new look at the statistical model identification