Maximum Entropy Approach to Central Limit Distributions of Correlated Variables

Hilhorst and Schehr recently presented a straight forward computation of limit distributions of sufficiently correlated random numbers [1]. Here we present the analytical form of entropy which – under the maximum entropy principle (with ordinary constraints)– provides these limit distributions. These distributions are not q-Gaussians and can not be obtained with Tsallis entropy.