Abstract
Central limit theorems and invariance principles are obtained for additive functionals of a stationary ergodic Markov chain, say Sn = g(X1) + ⋯ + g(Xn), where E[g(X1)] = 0 and E[g(X1)2] < ∞. The conditions imposed restrict the moments of g and the growth of the conditional means E(Sn | X1). No other restrictions on the dependence structure of the chain are required. When specialized to shift processes, the conditions are implied by simple integral tests involving g.
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Maxwell, M., & Woodroofe, M. (2000). Central limit theorems for additive functionals of Markov chains. Annals of Probability, 28(2), 713–724. https://doi.org/10.1214/aop/1019160258
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