Entropy-based Characterization of Modeling Constraints. (arXiv:2206.14105v1 [stat.ME])

In most data-scientific approaches, the principle of Maximum Entropy (MaxEnt)
is used to a posteriori justify some parametric model which has been already
chosen based on experience, prior knowledge or computational simplicity. In a
perpendicular formulation to conventional model building, we start from the
linear system of phenomenological constraints and asymptotically derive the
distribution over all viable distributions that satisfy the provided set of
constraints. The MaxEnt distribution plays a special role, as it is the most
typical among all …

arxiv constraints entropy modeling