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Bayesian model order selection using the Gibbs sampler

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2 Author(s)
Rajan, J.J. ; NTT Basic Res. Labs., Kanagawa, Japan ; Kawana, A.

A method is described for applying the Gibbs sampler to the problem of evaluating the evidence, or a posteriori probability, of candidate models in a Bayesian model order selection formulation for generalised linear models. The specific example of the discrete Karhunen-Loeve transform is considered

Published in:

Electronics Letters  (Volume:32 ,  Issue: 13 )