Maximum entropy identification and min-max optimal prediction

The authors consider the problem of worst case prediction of stationary discrete time stochastic processes. For certain classes of models and predictor, there is a uniformly optimal solution to the prediction problem. This solution is unique, and the uniform optimality is related to the principle of maximum entropy. An example is provided for which the min-max solution is not equal to the max-min solution