  We represent affine sub-manifolds of exponential family distributions as
minimum relative entropy sub-manifolds. With such representation we derive
analytical formulas for the inference from partial information on expectations
and covariances of multivariate normal distributions; and we improve the
numerical implementation via Monte Carlo simulations for the inference from
partial information of generalized expectation type.
