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A Nonconventional Local Limit Theorem

Author

Listed:
  • Yeor Hafouta

    (The Hebrew University)

  • Yuri Kifer

    (The Hebrew University)

Abstract

Local limit theorems have their origin in the classical De Moivre–Laplace theorem, and they study the asymptotic behavior as $$N\rightarrow \infty $$ N → ∞ of probabilities having the form $$P\{ S_N=k\}$$ P { S N = k } where $$S_N=\sum ^N_{n=1}F(\xi _n)$$ S N = ∑ n = 1 N F ( ξ n ) is a sum of an integer-valued function F taken on i.i.d. or Markov-dependent sequence of random variables $$\{\xi _j\}$$ { ξ j } . Corresponding results for lattice-valued and general functions F were obtained, as well. We extend here this type of results to nonconventional sums of the form $$S_N=\sum _{n=1}^NF(\xi _n,\xi _{2n}, \ldots ,\xi _{\ell n})$$ S N = ∑ n = 1 N F ( ξ n , ξ 2 n , … , ξ ℓ n ) which continues the recent line of research studying various limit theorems for such expressions.

Suggested Citation

  • Yeor Hafouta & Yuri Kifer, 2016. "A Nonconventional Local Limit Theorem," Journal of Theoretical Probability, Springer, vol. 29(4), pages 1524-1553, December.
  • Handle: RePEc:spr:jotpro:v:29:y:2016:i:4:d:10.1007_s10959-015-0625-9
    DOI: 10.1007/s10959-015-0625-9
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    References listed on IDEAS

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    1. Giesbrecht, N., 1994. "Bounds for sums of random variables over a Markov chain," Stochastic Processes and their Applications, Elsevier, vol. 53(2), pages 269-283, October.
    2. Bolthausen, Erwin, 1987. "Markov process large deviations in [tau]-topology," Stochastic Processes and their Applications, Elsevier, vol. 25, pages 95-108.
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    Cited by:

    1. Peligrad, Magda & Sang, Hailin & Zhang, Na, 2024. "On the local limit theorems for linear sequences of lower psi-mixing Markov chains," Statistics & Probability Letters, Elsevier, vol. 210(C).

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