Weak Law of Large Numbers Without Any Restriction on the Dependence Structure of Random Variables
Author:
Publisher
Springer Science and Business Media LLC
Subject
Anesthesiology and Pain Medicine
Link
https://link.springer.com/content/pdf/10.1007/s41980-021-00631-6.pdf
Reference12 articles.
1. Adler, A., Rosalsky, A.: Some general strong laws for weighted sums of stochastically dominated random variables. Stoch. Anal. Appl. 5(1), 1–16 (1987)
2. Bingham, N.H., Goldie, C.M., Teugels, J.L.: Regular Variation. Cambridge University Press, Cambridge (1987)
3. Boukhari, F.: Weak law of large numbers for maximal weighted sums of random variables. Commun. Statist. Theory Methods (2019). https://doi.org/10.1080/03610926.2019.1630437
4. Gut, A.: Probability: A Graduate Course. Springer, Berlin (2005)
5. Gut. A. 2004. An extension of the Kolmogorov-Feller weak law of large numbers with an application to the St. Petersburg Game. J. Theor. Probab. 17(3), 769–779
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