MCMC MLE changes

MCMC MLE has been almost completely redone. The KDE is sampled to find initial points to optimize and all points in the entire data set are evaluated once to find the best point and use as a starting point.

The MCMC system uses a 5-phase optimization now where the highest probabilities are for the bounds checking and burn in phases with a 5 step restart process (thanks emcee developers for the help dealing with stuck walkers)