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An Approximate Maximum a Posteriori Method with Gaussian Process Priors

Hegland, Markus

Description

The maximum a posteriori method is generalised for infinite dimensional problems and it is shown that in this case the problem can be reduced to a nonlinear variational problem. This is not a trivial generalisation as the probability density used for the

CollectionsANU Research Publications
Date published: 2006
Type: Book chapter
URI: http://hdl.handle.net/1885/30876
Book Title: Contributions to Probability and Statistics: Applications and Challenges. Proceedings of the International Statistics Workshop

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