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Peter Sollich, Christopher K. I. Williams. Understanding Gaussian Process Regression Using the Equivalent Kernel. 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 211-228, Springer, 2004. [doi]

The following publications are possibly variants of this publication:

Using the Equivalent Kernel to Understand Gaussian Process RegressionPeter Sollich, Christopher K. I. Williams. nips 2004: 1313-1320 [doi]

Gaussian Process Regression with Mismatched ModelsPeter Sollich. nips 2001: 519-526 [doi]

Can Gaussian Process Regression Be Made Robust Against Model Mismatch?Peter Sollich. dsmml 2005: 199-210 [doi]

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