Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1147877 | Journal of Statistical Planning and Inference | 2013 | 11 Pages |
Abstract
This paper studies the consistency of Bayesian nonparametric regression models. We concentrate on the use of the sup metric and dealing with non-stochastic, i.e. designed, covariate values. We illustrate our results on a normal mean regression function and demonstrate the usefulness of a model based on piecewise constant functions.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Fei Xiang, Stephen G. Walker,