no code implementations • 3 Feb 2021 • Prafulla Chandra, Andrew Thangaraj, Nived Rajaraman
In this work, we study convergence of the GT estimator for missing stationary mass (i. e., total stationary probability of missing symbols) of Markov samples on an alphabet $\mathcal{X}$ with stationary distribution $[\pi_x:x \in \mathcal{X}]$ and transition probability matrix (t. p. m.)
