## 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 MonteβCarlo (MCMC) algorithm is developed for the implementation of the model for reg
β¦ LIBER β¦
Bayesian monotone regression using Gaussian process projection
β Scribed by Lin, L.; Dunson, D. B.
- Book ID
- 121872748
- Publisher
- Oxford University Press
- Year
- 2014
- Tongue
- English
- Weight
- 542 KB
- Volume
- 101
- Category
- Article
- ISSN
- 0006-3444
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