On uncertainty in maximum-entropy maps and the generalization of 'classic MaxEnt'

A Bayesian approach to the treatment of uncertainty in maximum-entropy maps is developed based on a deeper hypothesis space that includes the prior map. The new approach is able to take into account uncertainty in the knowledge of the prior and provides a generalization of `classic MaxEnt'. Some examples of the new approach are presented for simulated SAXS data for cytochrome c.