Selection criteria for scatterplot smoothers

DOI10.1214/aos/1009210549zbMath1012.62040OpenAlexW2047774596MaRDI QIDQ1848868

Efron, Bradley

Publication date: 14 November 2002

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/aos/1009210549

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Point estimation (62F10)

Related Items

A note on smoothing parameter selection for penalized spline smoothing, Performance of Robust GCV and Modified GCV for Spline Smoothing, Adaptivity and Oracle Inequalities in Linear Statistical Inverse Problems: A (Numerical) Survey, From finite sample to asymptotics: a geometric bridge for selection criteria in spline regression, Nonparametric models and their estimation, \(M\)-type smoothing spline ANOVA for correlated data, Robust GCV choice of the regularization parameter for correlated data, Estimating non-simplified vine copulas using penalized splines, Is \(C_{p}\) an empirical Bayes method for smoothing parameter choice?, Some characteristics on the selection of spline smoothing parameter, Penalized marginal likelihood estimation of finite mixtures of Archimedean copulas, Comparing parameter choice methods for regularization of ill-posed problems, An improved \(C_p\) criterion for spline smoothing, Practical use of robust GCV and modified GCV for spline smoothing, Sampling Bias and Logistic Models, Two-stage signal restoration based on a modified median filter, Bayes Factors Based on Test Statistics, Parameter Choices for Fast Harmonic Spline Approximation, Selection criteria for scatterplot smoothers, Flexible pair-copula estimation in D-vines using bivariate penalized splines

Uses Software

• gamsel

Cites Work

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