Limit behaviors for a $\beta$-mixing sequence in the St. Petersburg game
DOI:
https://doi.org/10.33044/revuma.3364Abstract
We consider a sequence of non-negative $\beta$-mixing random variables $\{X,X_n : n\geq1\}$ from the classical St. Petersburg game. The accumulated gains $S_n=X_1+X_2+\cdots+X_n$ in the St. Petersburg game are studied, and the large deviations and the weak law of large numbers of $S_n$ are obtained.
Downloads
References
H. Berbee, Convergence rates in the strong law for bounded mixing sequences, Probab. Theory Related Fields 74 no. 2 (1987), 255–270. DOI MR Zbl
R. C. Bradley, Basic properties of strong mixing conditions, in Dependence in probability and statistics (Oberwolfach, 1985), Progr. Probab. Statist. 11, Birkhäuser Boston, Boston, MA, 1986, pp. 165–192. MR Zbl
Y. S. Chow and H. Robbins, On sums of independent random variables with infinite moments and “fair” games, Proc. Nat. Acad. Sci. U.S.A. 47 (1961), 330–335. DOI MR Zbl
S. Csörgő and G. Simons, A strong law of large numbers for trimmed sums, with applications to generalized St. Petersburg games, Statist. Probab. Lett. 26 no. 1 (1996), 65–73. DOI MR Zbl
W. Feller, Note on the law of large numbers and “fair” games, Ann. Math. Statistics 16 (1945), 301–304. DOI MR Zbl
Y. Hu and H. Nyrhinen, Large deviations view points for heavy-tailed random walks, J. Theoret. Probab. 17 no. 3 (2004), 761–768. DOI MR Zbl
D. Li and Y. Miao, A supplement to the laws of large numbers and the large deviations, Stochastics 93 no. 8 (2021), 1261–1280. DOI MR Zbl
Y. Miao, T. Xue, K. Wang, and F. Zhao, Large deviations for dependent heavy tailed random variables, J. Korean Statist. Soc. 41 no. 2 (2012), 235–245. DOI MR Zbl
G. Schwarz, Finitely determined processes—an indiscrete approach, J. Math. Anal. Appl. 76 no. 1 (1980), 146–158. DOI MR Zbl
G. Stoica, Large gains in the St. Petersburg game, C. R. Math. Acad. Sci. Paris 346 no. 9-10 (2008), 563–566. DOI MR Zbl
I. Vardi, The St. Petersburg game and continued fractions, C. R. Acad. Sci. Paris Sér. I Math. 324 no. 8 (1997), 913–918. DOI MR Zbl
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Yu Miao, Qing Yin, Zhen Wang
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal. The Journal may retract the paper after publication if clear evidence is found that the findings are unreliable as a result of misconduct or honest error.