modifications to the notebooks
added likelihoods as well as another notebook describing the penalizing coefficient in BIC and AIC.
added another figure for WW which emphasizes that our method picks models in the 100s of states rather than 1000s. Furthermore, I am attempting to show that this is ok by monitoring the convergence of the RMSD ACF's but cannot come up with a reliable way of calculating a difference between each ACF. Maybe I can instead just look at the slowest implied timescales and make a plot like I did for the muller case.
Merge branch 'master' of github.com:rmcgibbo/opt-k into ballwalk