MERW (
https://en.wikipedia.org/wiki/Maximal_E ... andom_Walk ) is choosing random walk maximizing entropy production for a given graph, or equivalently: assuming uniform(/Boltzmann) probability distribution among paths. There are now >100 citations of our 2009 introductory PRL "Localization of MERW" paper.
QM Feynman path integrals are similar after Wick rotation, called e.g. euclidean quantum mechanics and widely used in numerical calculations to find the ground state. However, beside focusing on continuous case, its original propagator does not maintain probability distributions (normalization to 1) - what is repaired in MERW.
Anyway, such ensembles nicely show where the squares in Born rules rho~psi^2 come from - like in
https://en.wikipedia.org/wiki/Two-state ... _formalism :
- one psi comes from the past: ensemble of past paths, propagator from -infinity to now,
- second psi comes from the future: ensemble of future paths, propagator from +infinity to now.
MERW here is just a simplified model showing that time symmetry can lead to nonstandard type of probabilistics:
1) Standard, intuitive: probability of alternative of disjoint events is sum of their probabilities,
2) Born rules (QM, MERW): probability of alternative of disjoint events is proportional to sum of squares of their amplitudes.
Bell-like equalities are derived assuming 1), hence models using 2) instead might exceed their threshold.
Above diagram is such simple example (I have also for CHSH): we need eight vertices for ABC, the graph is chosen to lead to amplitudes allowing for violation, measurement is exactly what we want: of 2 out of 3 values.
Assuming uniform distribuiton of paths only toward one time direction (past or future), we would have first power 1), inequality would be satisfied.
But thanks of using ensemble of full trajectories, we get the squares 2), which allow to exceed the classical threshold.
Here is stationary distribution on [0,1] infinite well from perspective of 3 philosophies for stochastic models:

I see MERW mainly as an educative model here - to understand the source of Born rules, earlier Anderson localization - standard diffusion models fail to obtain due to only approximating the maximal entropy principle required by statistical physics models.
I haven't found self confidence to even try to publish it, but I am open for a collaboration if somebody see it publishable.
Sure I can discuss on the Google group if getting invitation (
dudajar@gmail.com), but it will be similar like here.