Smoothness Priors and Nonlinear Regression
Smoothness Priors and Nonlinear Regression
Abstract Smoothness priors represent prior information that an unknown function does not change slope quickly and hence that the function describes a simple curve (e.g., Wahba 1978). In this article such priors for the multiple nonlinear regression model are developed in such a way that estimates and "standard errors" can …