Skip navigation
Skip navigation

An Approximate Maximum a Posteriori Method with Gaussian Process Priors

Hegland, Markus


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
Book Title: Contributions to Probability and Statistics: Applications and Challenges. Proceedings of the International Statistics Workshop


File Description SizeFormat Image
01_Hegland_An_Approximate_Maximum_a_2006.pdf11.08 MBAdobe PDF    Request a copy

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  19 May 2020/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator