most citedPrediction Using a Bayesian Heteroscedastic Composite Gaussian Process

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

stat.ME2019★ 1 cited

Prediction Using a Bayesian Heteroscedastic Composite Gaussian Process

Casey B. Davis, Christopher M. Hans, Thomas J. Santner

This research proposes a flexible Bayesian extension of the composite Gaussian process (CGP) model of Ba and Joseph (2012) for predicting (stationary or) non-stationary $y(\mathbf{…

math.ST2015

Comment on Article by Dawid and Musio

Christopher M. Hans, Mario Peruggia

Discussion of "Bayesian Model Selection Based on Proper Scoring Rules" by Dawid and Musio [arXiv:1409.5291].