Before revision:  The values of the free parameters of the model are estimated by a Bayesian maximum likelihood inference which keeps into account the prior distribution of the parameters making use of theorems from Information Geometry .
After revision:  The values of the free parameters of the model are estimated by a Bayesian maximum likelihood inference which keeps into account the prior distribution of the parameters .