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Limiting behaviors of linear processes with random coefficients based on \(m\)-ANA random variables. (English) Zbl 07565746

The authors begin with the definition of negatively associated (NA) random variables in a finite family of random variables \(X_1,\dots,X_n\) by using the negativity of Covariances between suitable functions of \(X_i\) and \(X_j\) where \(i,j \in \{1,2,\dots,n\}\). Then they define asymptotic negatively associated (ANA) introduced by Zhang and Wang (see the authors’ reference) by suitable asymptotic decay. Then they extend the concept of ANA random variables to the concept of m-ANA random variables (see [Y. Wu et al., Stat. Pap. 62, No. 5, 2169–2194 (2021; Zbl 1479.60066)] in the authors’ reference). In this paper the authors investigate the complete convergence and complete moment convergence of linear processes with random coefficients based on m-ANA random variables. The authors provide some generalizations of earlier results in the literature. Some applications to certain strong law of large numbers are given as corollaries for linear processes of m-ANA random variables with random coefficients.

MSC:

62F15 Bayesian inference
62F99 Parametric inference

Citations:

Zbl 1479.60066
Full Text: DOI

References:

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