, where F h 1 and F h -1 are free energies of the two end states. In CBayesMBAR, we estimate all free energies of F = (F 1 , F 2 , F 3 ) simultaneously using a Bayesian probabilistic framework. Specifically, we assign a prior distribution p(F ) to F and view all configurations and state indices ({Y h , X h } 3 h=1 ) as samples from the conditional