Please use this identifier to cite or link to this item:
|Title:||Gaussian process functional regression modeling for batch data.|
|Citation:||BIOMETRICS, 2007, 63 (3), pp. 714-723|
|Abstract:||A Gaussian process functional regression model is proposed for the analysis of batch data. Covariance structure and mean structure are considered simultaneously, with the covariance structure modeled by a Gaussian process regression model and the mean structure modeled by a functional regression model. The model allows the inclusion of covariates in both the covariance structure and the mean structure. It models the nonlinear relationship between a functional output variable and a set of functional and nonfunctional covariates. Several applications and simulation studies are reported and show that the method provides very good results for curve fitting and prediction.|
|Appears in Collections:||Published Articles, Dept. of Mathematics|
Files in This Item:
There are no files associated with this item.
Items in LRA are protected by copyright, with all rights reserved, unless otherwise indicated.