Zhang, Defei; He, Ping A strong law of large numbers for weighted sums of i.i.d. random variables under capacities. (English) Zbl 1442.60038 J. Appl. Math. 2014, Article ID 412758, 5 p. (2014). Summary: With the notion of independent identically distributed (i.i.d.) random variables under sublinear expectations initiated by Peng, a strong law of large numbers for weighted sums of i.i.d. random variables under capacities induced by sublinear expectations is obtained. MSC: 60F15 Strong limit theorems PDF BibTeX XML Cite \textit{D. Zhang} and \textit{P. He}, J. Appl. Math. 2014, Article ID 412758, 5 p. (2014; Zbl 1442.60038) Full Text: DOI References: [1] Chow, Y. S.; Lai, T. L., Limiting behavior of weighted sums of independent random variables, Annals of Probability, 1, 5, 810-824 (1973) · Zbl 0303.60025 [2] Stout, W. F., Almost Sure Convergence (1974), New York, NY, USA: Academic Press, New York, NY, USA · Zbl 0321.60022 [3] Choi, B. D.; Sung, S. H., Almost sure convergence theorems of weighted sums of random variables, Stochastic Analysis and Applications, 5, 4, 365-377 (1987) · Zbl 0633.60049 [4] Cuzick, J., A strong law for weighted sums of i.i.d. random variables, Journal of Theoretical Probability, 8, 3, 625-641 (1995) · Zbl 0833.60031 [5] Rosalsky, A.; Sreehari, M., On the limiting behavior of randomly weighted partial sums, Statistics & Probability Letters, 40, 4, 403-410 (1998) · Zbl 0937.60014 [6] Wu, W. B., On the strong convergence of a weighted sum, Statistics & Probability Letters, 44, 1, 19-22 (1999) · Zbl 0951.60027 [7] Bai, Z. D.; Cheng, P. E., Marcinkiewicz strong laws for linear statistics, Statistics & Probability Letters, 46, 2, 105-112 (2000) · Zbl 0960.60026 [8] Bai, Z. D.; Cheng, P. E.; Zhang, C. H., An extension of the Hardy-Littlewood strong law, Statistica Sinica, 7, 4, 923-928 (1997) · Zbl 1067.60501 [9] Chen, Z.; Epstein, L., Ambiguity, risk, and asset returns in continuous time, Econometrica, 70, 4, 1403-1443 (2002) · Zbl 1121.91359 [10] Huber, P.; Strassen, V., Minimax tests and the Neyman-Pearson Lemma for capacities, The Annals of Statistics, 1, 2, 251-263 (1973) · Zbl 0259.62008 [11] Wakker, P., Testing and characterizing properties of nonadditive measures through violations of the sure-thing principle, Econometrica, 69, 4, 1039-1059 (2001) · Zbl 1021.91016 [12] Marinacci, M., Limit laws for non-additive probabilities and their frequentist interpretation, Journal of Economic Theory, 84, 2, 145-195 (1999) · Zbl 0921.90005 [13] Maccheroni, F.; Marinacci, M., A strong law of large numbers for capacities, The Annals of Probability, 33, 3, 1171-1178 (2005) · Zbl 1074.60041 [14] Peng, S., \(G\)-Expectation, \(G\)-Brownian motion and related stochastic calculus of Itô type, Stochastic Analysis and Applications: The Abel Symposium 2005. Stochastic Analysis and Applications: The Abel Symposium 2005, Abel Symposia, 2, 541-567 (2007), Berlin, Germany: Springer, Berlin, Germany · Zbl 1131.60057 [15] Peng, S., Law of large numbers and central limit theorem under nonlinear expectations · Zbl 1434.60075 [16] Peng, S., A new central limit theorem under sublinear expectations [17] Denis, L.; Hu, M.; Peng, S., Function spaces and capacity related to a sublinear expectation: application to \(G\)-Brownian motion paths, Potential Analysis, 34, 2, 139-161 (2011) · Zbl 1225.60057 [18] Chen, Z.; Wu, P.; Li, B., A strong law of large numbers for non-additive probabilities, International Journal of Approximate Reasoning, 54, 3, 365-377 (2013) · Zbl 1266.60051 [19] Peng, S., Nonlinear expectations and stochastic calculus under uncertainty-with robust central limit theorem and \(G\)-Brownian motion [20] Artzner, P.; Delbaen, F.; Eber, J.; Heath, D., Thinking coherently, Risk, 10, 1, 68-71 (1997) This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.