Artículos de revistas
A Bayesian approach to hybrid splines non-parametric regression
Registro en:
Journal Of Statistical Computation And Simulation. Taylor & Francis Ltd, v. 72, n. 4, n. 285, n. 297, 2002.
0094-9655
WOS:000177294100003
10.1080/00949650290007342
Autor
Dias, R
Gamerman, D
Institución
Resumen
A Bayesian approach is considered to estimate the number of basis functions and the smoothing parameter of the hybrid splines non-parametric regression procedure. The method used to obtain the estimate of the regression curve and its Bayesian confidence intervals is based on the reversible jump MCMC (Green 1995). Illustrations with simulated data are provided and show good performance of the proposed approach over the existing methods. 72 4 285 297