Adding Constrained Discontinuities to Gaussian Process Models of Wind Fields
Abstract
Gaussian Processes provide good prior models for spatial data, but can be too smooth. In many physical situations there are discontinuities along bounding surfaces, for example fronts in near-surface wind fields. We describe a modelling method for such a constrained discontinuity and demonstrate how to infer the model parameters in wind fields with MCMC sampling.
Cite
Text
Cornford et al. "Adding Constrained Discontinuities to Gaussian Process Models of Wind Fields." Neural Information Processing Systems, 1998.Markdown
[Cornford et al. "Adding Constrained Discontinuities to Gaussian Process Models of Wind Fields." Neural Information Processing Systems, 1998.](https://mlanthology.org/neurips/1998/cornford1998neurips-adding/)BibTeX
@inproceedings{cornford1998neurips-adding,
title = {{Adding Constrained Discontinuities to Gaussian Process Models of Wind Fields}},
author = {Cornford, Dan and Nabney, Ian T. and Williams, Christopher K. I.},
booktitle = {Neural Information Processing Systems},
year = {1998},
pages = {861-867},
url = {https://mlanthology.org/neurips/1998/cornford1998neurips-adding/}
}