Learning the ergodic decomposition
  A Bayesian agent learns about the structure of a stationary process from ob- serving past outcomes. We prove that his predictions about the near future become ap- proximately those he would have made if he knew the long run empirical frequencies of the process. 
Nabil Al-Najjar and Eran Shmaya
math.ST math.PR stat.ML stat.TH