Dear All,
I'm working on a problem in which the posterior has 4 separate modes, let's call them A, B, C, and D. The modes A and B are close enough that the walkers can move from one to another (they have overlapping 3-sigma contours). Same is for C and D, but not A and C, B and C, A and D, or B and D. Is it possible to get posterior probability of these modes from EMCEE? As I understand, I can define the border between A and B, count posterior samples in each of them n(A) and n(B), and take posterior probability p(A)/p(B) = n(A)/n(B). But what about comparing A+B vs C+D? Can I start the walkers from uniform distributions, so that each can fall in either of the modes, and then take [p(A)+p(B)] / [p(C)+p(D)] = [n(A)+n(B)] / [n(C)+n(D)]? Since the walkers are not able to move from modes A or B to C or D, then these probabilities are set after a small number of steps. Hence, I should run many walkers with a small number of steps to get the posterior probability of the modes. Is it a legitimate approach?
Kind regards,
Radek