Mixing Time Estimation in Reversible Markov Chains from a Single Sample Path

Daniel J. Hsu, Aryeh Kontorovich, Csaba Szepesvari

Neural Information Processing Systems 

The interval is computed from a single finite-length sample path from the Markov chain, and does not require the knowledge of any parameters of the chain. This stands in contrast to previous approaches, which either only provide point estimates, or require a reset mechanism, or additional prior knowledge.