Abstract
In this paper, we establish the analogue of Kolmogorov-type law of the logarithm for an array of independent random variables. The main methods are to develop the classic Bernstein’s and Kolmogorov’s inequality and replace the boundedness condition by conditions on the cumulant transform.
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This work is supported by NSFC (11001077, 11471104), NCET (NCET-11-0945), IRTSTHN (14IRTSTHN023), and Plan For Scientific Innovation Talent of Henan Province (124100510014).
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Hoffmann-Jørgensen, J., Miao, Y., Li, X.C. et al. Kolmogorov Type Law of the Logarithm for Arrays. J Theor Probab 29, 32–47 (2016). https://doi.org/10.1007/s10959-014-0574-8
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DOI: https://doi.org/10.1007/s10959-014-0574-8
Keywords
- Kolmogorov’s law of the logarithm
- Independent random variables
- Bernstein’s inequality
- Kolmogorov’s inequality