Fitting additive models to regression data. Diagnostics and alternative views
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Publication:2563633
DOI10.1016/0167-9473(93)90217-HzbMath0937.62613MaRDI QIDQ2563633
Publication date: 31 August 1997
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Related Items (13)
How well can a regression function be estimated if the distribution of the (random) design is concentrated on a finite set? ⋮ Choice of regressors in nonparametric estimation ⋮ Generalizing the prediction sum of squares statistic and formula, application to linear fractional image warp and surface fitting ⋮ Classification using splines ⋮ Multilayer statistical classifiers ⋮ Bounded optimal knots for regression splines ⋮ Remembering Leo Breiman ⋮ Reducing quadratic programming problem to regression problem: stepwise algorithm ⋮ Backfitting neural networks ⋮ Nonasymptotic bounds on the \(L_{2}\) error of neural network regression estimates ⋮ Projection estimation in multiple regression with application to functional ANOVA models ⋮ B-spline estimation of regression functions with errors in variable ⋮ Increasing the usefulness of additive spline models by knot removal
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- Flexible Parsimonious Smoothing and Additive Modeling
- A comparative study of ordinary cross-validation, v-fold cross-validation and the repeated learning-testing methods
- Comparing Automatic Smoothers (A Public Service Enterprise)
- The Little Bootstrap and Other Methods for Dimensionality Selection in Regression: X-Fixed Prediction Error
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