Scalable Bayesian nonparametric regression via a Plackett-Luce model for conditional ranks
We present a novel Bayesian nonparametric regression model for covariates X and continuous response variable Y∈R. The model is parametrized in terms of marginal distributions for Y and X and a regression function which tunes the stochastic ordering of the conditional distributions F(y|x). By adoptin...
| Main Authors: | , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Institute of Mathematical Statistics
2016
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