Research article

Moderate deviation principle for $ m $-dependent random variables under the sub-linear expectation

  • Received: 10 November 2021 Revised: 29 December 2021 Accepted: 06 January 2022 Published: 13 January 2022
  • MSC : 60F10

  • Let $ \{X_n, n\geq1\} $ be a sequence of $ m $-dependent strictly stationary random variables in a sub-linear expectation $ (\Omega, \mathcal{H}, \mathbb{E}) $. In this article, we give the definition of $ m $-dependent sequence of random variables under sub-linear expectation spaces taking values in $ \mathbb{R} $. Then we establish moderate deviation principle for this kind of sequence which is strictly stationary. The results in this paper generalize the result that in the case of independent identically distributed samples. It provides a basis to discuss the moderate deviation principle for other types of dependent sequences.

    Citation: Shuang Guo, Yong Zhang. Moderate deviation principle for $ m $-dependent random variables under the sub-linear expectation[J]. AIMS Mathematics, 2022, 7(4): 5943-5956. doi: 10.3934/math.2022331

    Related Papers:

  • Let $ \{X_n, n\geq1\} $ be a sequence of $ m $-dependent strictly stationary random variables in a sub-linear expectation $ (\Omega, \mathcal{H}, \mathbb{E}) $. In this article, we give the definition of $ m $-dependent sequence of random variables under sub-linear expectation spaces taking values in $ \mathbb{R} $. Then we establish moderate deviation principle for this kind of sequence which is strictly stationary. The results in this paper generalize the result that in the case of independent identically distributed samples. It provides a basis to discuss the moderate deviation principle for other types of dependent sequences.



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