Lookup NU author(s): Dr Jian Shi
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For a large data set with groups of repeated measurements, a mixture model of Gaussian process priors is proposed for modelling the heterogeneity among the different replications. A hybrid Markov chain Monte-Carlo (MCMC) algorithm is developed for the implementation of the model for regression and classification. The regression model and its implementation are illustrated by modelling observed functional electrical stimulation (FES) experimental results. The classification model is illustrated in a synthetic example.
Author(s): Shi JQ, Murray-Smith R, Titterington DM
Publication type: Article
Publication status: Published
Journal: International Journal of Adaptive Control and Signal Processing
Print publication date: 01/03/2003
ISSN (print): 0890-6327
ISSN (electronic): 1099-1115
Publisher: Wiley-Blackwell Publishing
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