Analytical Estimation of Average Entropy for Gaussian Mixture Distributions

The authors develop an analytical method to estimate the average differential entropy of a Gaussian mixture distribution, where the component means are i.i.d. Gaussian vectors. They obtain a series expansion in the ratio of the variances of the component means and the shared covariance matrix, providing an approximation with a quantifiable error bound.