Maximum Entropy

This chapter presents the principle of maximum entropy, which furnishes a practical method for the generation of distributions. The representation of stochastic processes by Karhunen-Loève expansions is presented, including their combination with Hilbert’s approach of uncertainty quantification. Implementations in R are given, and their use is exemplified.