Pages that link to "Item:Q1184209"
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The following pages link to Interaction spline models and their convergence rates (Q1184209):
Displaying 12 items.
- Survey of modeling and optimization strategies to solve high-dimensional design problems with computationally-expensive black-box functions (Q381435) (← links)
- Asymptotics for polynomial spline regression under weak conditions. (Q1423078) (← links)
- Local asymptotics for polynomial spline regression (Q1431442) (← links)
- Pointwise convergence in probability of general smoothing splines (Q1656858) (← links)
- Projection estimation in multiple regression with application to functional ANOVA models (Q1807077) (← links)
- Tensor product space ANOVA models. (Q1848797) (← links)
- How well can a regression function be estimated if the distribution of the (random) design is concentrated on a finite set? (Q1877843) (← links)
- Smoothing spline ANOVA for exponential families, with application to the Wisconsin epidemiological study of diabetic retinopathy. (The 1994 Neyman Memorial Lecture) (Q1922369) (← links)
- Convergence rate and Bahadur type representation of general smoothing spline M-estimates (Q1952109) (← links)
- Nonasymptotic bounds on the \(L_{2}\) error of neural network regression estimates (Q2502135) (← links)
- An improved algorithm of interaction spline fitting (Q3972860) (← links)
- Nonparametric regression function estimation using interaction least squares splines and complexity regularization. (Q5953727) (← links)
