Interaction spline models and their convergence rates
From MaRDI portal
Publication:1184209
DOI10.1214/aos/1176348374zbMath0738.62065OpenAlexW2017329892MaRDI QIDQ1184209
Publication date: 28 June 1992
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1214/aos/1176348374
reproducing kernel Hilbert spacemain effectspenalized least squares methodkernel matrixprediction mean squared errormultivariate regression functionexpected squared errorinteraction splinestwo- factor interactions
Density estimation (62G07) Estimation in multivariate analysis (62H12) Asymptotic properties of nonparametric inference (62G20) General nonlinear regression (62J02)
Related Items
How well can a regression function be estimated if the distribution of the (random) design is concentrated on a finite set?, Smoothing spline ANOVA for exponential families, with application to the Wisconsin epidemiological study of diabetic retinopathy. (The 1994 Neyman Memorial Lecture), Survey of modeling and optimization strategies to solve high-dimensional design problems with computationally-expensive black-box functions, Convergence rate and Bahadur type representation of general smoothing spline M-estimates, Local asymptotics for polynomial spline regression, Nonasymptotic bounds on the \(L_{2}\) error of neural network regression estimates, Nonparametric regression function estimation using interaction least squares splines and complexity regularization., Projection estimation in multiple regression with application to functional ANOVA models, Tensor product space ANOVA models.