Functional Additive Models
Functional Additive Models is a scholarly work by Hans-Georg Müller, published in 2008 in ''Journal of the American Statistical Association''. The main subjects of the publication include additive model, missing data, Proper linear model, generalized additive model, functional data analysis, linear functional, covariance, regression analysis, regression, design of experiments, regularization, principal component analysis, linear model, functional principal component analysis, Bayesian multivariate linear regression, computer science, linear regression, mathematics, and Principal component regression. The authors relax the linearity assumption and propose to replace it by an additive structure, leading to a more widely applicable and much more flexible framework for functional regression models.