MARS: selecting basis functions and knots with an empirical Bayes method
From MaRDI portal
Publication:964645
DOI10.1007/S00180-007-0075-7zbMath1194.62055OpenAlexW1972739944MaRDI QIDQ964645
Publication date: 22 April 2010
Published in: Computational Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00180-007-0075-7
Nonparametric regression and quantile regression (62G08) Estimation in multivariate analysis (62H12) Empirical decision procedures; empirical Bayes procedures (62C12)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Greedy function approximation: A gradient boosting machine.
- Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
- Multivariate adaptive regression splines
- Hedonic housing prices and the demand for clean air
- Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
- Bayesian backfitting. (With comments and a rejoinder).
- Smoothing methods in statistics
- Accurate Approximations for Posterior Moments and Marginal Densities
- Approximate predictive likelihood
- Flexible Parsimonious Smoothing and Additive Modeling
- Inference in Generalized Additive Mixed Models by Using Smoothing Splines
- Ridge Estimators in Logistic Regression
- Ridge Regression: Biased Estimation for Nonorthogonal Problems
This page was built for publication: MARS: selecting basis functions and knots with an empirical Bayes method