For situations with incomplete knowledge, models need some hidden assumptions about the missing information - and the safest assumptions (combinatorially dominating) are maximizing entropy.
However, there are additional constraints e.g. from energy conservation - requiring to use weighted: Boltzmann distribution.
And this is about equilibrium like the ground state - dynamics is indeed more complicated - for example which diffusion is more natural: based on standard random walk (GRW, no localization) or maximizing entropy MERW (
https://en.wikipedia.org/wiki/Maximal_entropy_random_walk ) - leading to exactly quantum ground state stationary probability distribution from
Boltzmann path ensemble (for M_ij = exp(-E_ij) called transfer matrix):