On the strong laws of large numbers for weighted sums of random variables
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DOI: 10.1016/j.spl.2016.06.020
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References listed on IDEAS
- Rosalsky, Andrew & Stoica, George, 2010. "On the strong law of large numbers for identically distributed random variables irrespective of their joint distributions," Statistics & Probability Letters, Elsevier, vol. 80(17-18), pages 1265-1270, September.
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Cited by:
- Chen, Pingyan & Sung, Soo Hak, 2021. "On the Jajte strong law of large numbers," Statistics & Probability Letters, Elsevier, vol. 176(C).
- Chen, Zengjing & Epstein, Larry G., 2022. "A central limit theorem for sets of probability measures," Stochastic Processes and their Applications, Elsevier, vol. 152(C), pages 424-451.
- Feng, Chunrong & Wu, Panyu & Zhao, Huaizhong, 2020. "Ergodicity of invariant capacities," Stochastic Processes and their Applications, Elsevier, vol. 130(8), pages 5037-5059.
- Feng, Xinwei, 2017. "Self-normalized large deviations under sublinear expectation," Statistics & Probability Letters, Elsevier, vol. 123(C), pages 77-83.
- Peiyu Sun & Dehui Wang & Xili Tan, 2023. "Equivalent Conditions of Complete p-th Moment Convergence for Weighted Sum of ND Random Variables under Sublinear Expectation Space," Mathematics, MDPI, vol. 11(16), pages 1-16, August.
- Lita da Silva, João, 2018. "Strong laws of large numbers for pairwise quadrant dependent random variables," Statistics & Probability Letters, Elsevier, vol. 137(C), pages 349-358.
- Guo, Xiaofan & Li, Xinpeng, 2021. "On the laws of large numbers for pseudo-independent random variables under sublinear expectation," Statistics & Probability Letters, Elsevier, vol. 172(C).
- Quang, Nguyen Van & Son, Do The & Son, Le Hong, 2017. "The strong laws of large numbers for positive measurable operators and applications," Statistics & Probability Letters, Elsevier, vol. 124(C), pages 110-120.
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Keywords
Strong law of large numbers; Weighted sums; Almost sure convergence;All these keywords.
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