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Central limit theorem for centered frequencies of a countable ergodic markov chain

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Abstract

On the basis of results concerning the behavior of the potential of a countable ergodic Markov chain for a certain class of functions, the asymptotic normality of the variable\(\tfrac{1}{{\sqrt n }}\sum\nolimits_{k = 0}^{n - 1} {f(X_k )} \) is proved. The asymptotic normality of centered frequencies is obtained without using the condition of finiteness of the timeM 0τ2 of the first return to a chain state.

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References

  1. N. V. Moskal'tsova and V. M. Shurenkov, “On the asymptotics of the potential of a countable ergodic Markov chain,”Ukr. Mat. Zh.,45, No. 2, 265–270 (1993).

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  2. V. M. Shurenkov,Ergodic Markov Processes [in Russian], Nauka, Moscow (1989).

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Deceased.

Translated from Ukrainskii Matematicheskii Zhurnal, Vol. 45, No. 12, pp. 1713–1715, December, 1993.

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Moskal'tsova, N.V., Shurenkov, V.M. Central limit theorem for centered frequencies of a countable ergodic markov chain. Ukr Math J 45, 1928–1931 (1993). https://doi.org/10.1007/BF01061365

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  • DOI: https://doi.org/10.1007/BF01061365

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