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Lookup NU author(s): Dr Jian Shi,
Dr Bo Wang
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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. © 2007, The International Biometric Society.
Author(s): Shi JQ, Wang B, Murray-Smith R, Titterington DM
Publication type: Article
Publication status: Published
ISSN (print): 0006-341X
ISSN (electronic): 1541-0420
Publisher: Wiley-Blackwell Publishing Ltd.
PubMed id: 17825005
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