Abstract
An exponential bound is obtained for the law of large numbers for $S_n = \sum^n_{k=1} f(X_k)$ where $\{X_k: k = 1, 2, \cdots \}$ is a discrete parameter Markov process satisfying Doeblin's condition and $f$ is a bounded, real-valued, measurable function.
Citation
Melvin Katz Jr.. A. J. Thomasian. "A Bound for the Law of Large Numbers for Discrete Markov Processes." Ann. Math. Statist. 32 (1) 336 - 337, March, 1961. https://doi.org/10.1214/aoms/1177705163
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