Can Gaussian Process Regression Be Made Robust Against Model Mismatch?

Peter Sollich. Can Gaussian Process Regression Be Made Robust Against Model Mismatch?. In Joab Winkler, Mahesan Niranjan, Neil D. Lawrence, editors, Deterministic and Statistical Methods in Machine Learning, First International Workshop, Sheffield, UK, September 7-10, 2004, Revised Lectures. Volume 3635 of Lecture Notes in Computer Science, pages 199-210, Springer, 2004. [doi]

@inproceedings{Sollich04,
  title = {Can Gaussian Process Regression Be Made Robust Against Model Mismatch?},
  author = {Peter Sollich},
  year = {2004},
  doi = {10.1007/11559887_12},
  url = {http://dx.doi.org/10.1007/11559887_12},
  tags = {process modeling},
  researchr = {https://researchr.org/publication/Sollich04},
  cites = {0},
  citedby = {0},
  pages = {199-210},
  booktitle = {Deterministic and Statistical Methods in Machine Learning, First International Workshop, Sheffield, UK, September 7-10, 2004, Revised Lectures},
  editor = {Joab Winkler and Mahesan Niranjan and Neil D. Lawrence},
  volume = {3635},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-29073-7},
}