Themethod of batch means is a widely applied procedure for constructing steady-state confidence intervals. The traditional theoretical support for the method of batch means has rested on the assumption of a functional central limit theorem for the underlying process. We establish here that the method of batch means is valid for Harris recurrent Markov processes whenever the associated process satisfies a simple (non–functional) central limit theorem. This weaker condition for validity of the method of batch means is also shown to hold in the setting of one-dependent regenerative processes.
CITATION STYLE
Glynn, P. W., & Lim, E. (2009). Asymptotic validity of batch means steady-state confidence intervals. In International Series in Operations Research and Management Science (Vol. 133, pp. 87–104). Springer New York LLC. https://doi.org/10.1007/b110059_5
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