A new version of stochastic complexity for a parametric statistical mo
del is derived, based on a class of two-part-codes. We show that choos
ing the quantization in the first step according to the Fisher informa
tion is optimal and we compare our approach to a recent result of Riss
anen, An application to robust regression model selection is presented
.