(Enter summary)
Abstract: Although Bayesian analysis has been in use since Laplace,
the Bayesian method of model--comparison has only recently
been developed in depth.
In this paper, the Bayesian approach to regularisation and
model--comparison is demonstrated by studying the inference
problem of interpolating noisy data. The concepts and methods
described are quite general and can be applied to many
other problems.
Regularising constants are set by examining their posterior
probability distribution. Alternative... (Update)
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BibTeX entry: (Update)
D.J.C. MacKay. Bayesian interpolation. Neural Computation, 4(3):415--447, May 1992. http://citeseer.ist.psu.edu/article/mackay91bayesian.html More
@article{ mackay92bayesian,
author = "MacKay, D. J. C.",
title = "{B}ayesian Interpolation",
journal = "Neural Computation",
volume = "4",
number = "3",
pages = "415--447",
year = "1992",
url = "citeseer.ist.psu.edu/article/mackay91bayesian.html" }
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