Shi, J.Q., Wang, B., Murray-Smith, R. and Titterington, D.M. (2007) Gaussian Process Functional Regression Modelling for Batch Data. Biometrics (Journal of the International Biometric Society), 63 ( 3). pp. 714-723. ISSN 1541-0420
Full text not available from this repository.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.
| Item Type: | Article |
|---|---|
| Keywords: | Batch data • B-spline • Functional data analysis • Gaussian process functional regression model • Gaussian process regression model • Multiple-step-ahead forecasting • Nonparametric curve fitting |
| Academic Units: | The University of York > Mathematics (York) |
| Depositing User: | York RAE Import |
| Date Deposited: | 13 Aug 2009 14:26 |
| Last Modified: | 13 Aug 2009 14:26 |
| Published Version: | http://dx.doi.org/10.1111/j.1541-0420.2007.00758.x |
| Status: | Published |
| Publisher: | Wiley-Blackwell |
| Identification Number: | 10.1111/j.1541-0420.2007.00758.x |
| URI: | http://eprints.whiterose.ac.uk/id/eprint/5711 |
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