Bayesian methods certainly require relative parsimony, in the sense that the model complexity needs to be small compared to the quantity of information being modeled.
Not really. Bayesian methods can model random noise. Then the model is of the same size as the data being modeled.
Not really. Bayesian methods can model random noise. Then the model is of the same size as the data being modeled.