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Hierarchical Gaussian process mixtures for regression

✍ Scribed by J.Q. Shi; R. Murray-Smith; D.M. Titterington


Book ID
106537098
Publisher
Springer US
Year
2005
Tongue
English
Weight
433 KB
Volume
15
Category
Article
ISSN
0960-3174

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✍ J.Q. Shi; R. Murray-Smith; D.M. Titterington πŸ“‚ Article πŸ“… 2003 πŸ› John Wiley and Sons 🌐 English βš– 314 KB

## Abstract 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 reg