Bayesian P-Splines
Top Cited Papers
- 1 March 2004
- journal article
- Published by Taylor & Francis in Journal of Computational and Graphical Statistics
- Vol. 13 (1) , 183-212
- https://doi.org/10.1198/1061860043010
Abstract
P-splines are an attractive approach for modeling nonlinear smooth effects of covariates within the additive and varying coefficient models framework. In this article, we first develop a Bayesian v...Keywords
This publication has 29 references indexed in Scilit:
- Bayesian Inference for Generalized Additive Mixed Models Based on Markov Random Field PriorsJournal of the Royal Statistical Society Series C: Applied Statistics, 2001
- Bayesian backfitting (with comments and a rejoinder by the authorsStatistical Science, 2000
- Modelling and Smoothing Parameter Estimation With Multiple Quadratic PenaltiesJournal of the Royal Statistical Society Series B: Statistical Methodology, 2000
- Theory & Methods: Spatially‐adaptive Penalties for Spline FittingAustralian & New Zealand Journal of Statistics, 2000
- Hybrid Adaptive SplinesJournal of the American Statistical Association, 1997
- Nonparametric regression using Bayesian variable selectionJournal of Econometrics, 1996
- The Effect of Improper Priors on Gibbs Sampling in Hierarchical Linear Mixed ModelsJournal of the American Statistical Association, 1996
- Bayesian Analysis of Binary and Polychotomous Response DataJournal of the American Statistical Association, 1993
- Computational methods for local regressionStatistics and Computing, 1991
- Multivariate Adaptive Regression SplinesThe Annals of Statistics, 1991