Mean convergence theorems for arrays of dependent random variables with applications to dependent bootstrap and non-homogeneous Markov chains

Author:

Vǎn Thành LêORCID

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference25 articles.

1. Adler A, Matuła P (2018) On exact strong laws of large numbers under general dependence conditions. Probab Math Stat 38(1):103–121

2. Ahmed E, Li D, Rosalsky A, Volodin A (2005) On the asymptotic probability for the deviations of dependent bootstrap means from the sample mean. Lobachevskii J Math 18:3–20

3. Bradley R (2011) A note on two measures of dependence. Stat Probab Lett 81(12):1823–1826

4. Dzung NC, Thành LV (2021) On the complete convergence for sequences of dependent random variables via stochastic domination conditions and regularly varying functions theory. pp 1–18. arXiv:2107.12690

5. Etemadi N (1985) On some classical results in probability theory. Sankhyā Indian J Stat Ser A 215–221

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