Bayesian prediction via partitioning
This article proposes a new Bayesian approach to prediction on continuous covariates. The Bayesian partition model constructs arbitrarily complex regression and classification surfaces by splitting the covariate space into an unknown number of disjoint regions. Within each region the data are assume...
| Main Authors: | , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
2005
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