Choice of Basis for Laplace Approximation

David J C MacKay

Maximum a posteriori optimization of parameters and the Laplace approximation for the marginal likelihood are both basis-dependent methods. In this note I demonstrate that in the case of models parameterized by probabilities there is a better choice for the basis than the traditional choice.

postscript.


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