On a relation between the principle of minimum relative entropy and maximum likelihood estimation

A justification for the use of the minimum relative entropy (MRE) principle as a probability density function (PDF) estimation method is given by showing a relation with the classical maximum likelihood estimation procedure. This ultimately provides a noninformation theoretic argument for the validity of the MRE principle as well as some properties that the MRE PDF obeys.<>