The Minimum Description Length (MDL) approach to parametric model selection chooses a model that provides the shortest codelength for data, while the Bayesian approach selects the model that yields the highest likelihood for the data. In this article I describe how the Bayesian approach yields essentially the same model selection criterion as MDL provided one chooses a Jeffreys prior for the pa...
