An underlying principle of the Bayesian parameter estimation is maximizing the a posteriori distribution. where the posterior distribution is conditioned on the similarity function. minimizing the posterior risk. where the posterior distribution is conditioned on the observed data. maximizing the a posteriori distribution. where the posterior distribution is conditioned on the observed data. minimizing the posterior risk, where the posterior distribution is conditioned on the similarity function