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An Approximate Maximum a Posteriori Method with Gaussian Process Priors

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Date

2006

Authors

Hegland, Markus

Journal Title

Journal ISSN

Volume Title

Publisher

World Scientific Publishing Company

Abstract

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

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Keywords

Citation

URI

http://hdl.handle.net/1885/30876

Collections

ANU Research Publications

Source

Type

Book chapter

Book Title

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

Entity type

Access Statement

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DOI

Restricted until

2037-12-31

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01_Hegland_An_Approximate_Maximum_a_2006.pdf (10.82 MB)

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