A strong law of large numbers for non-additive probabilities

被引:108
作者
Chen, Zengjing [1 ,2 ]
Wu, Panyu [1 ]
Li, Baoming [3 ]
机构
[1] Shandong Univ, Sch Math, Jinan 250100, Peoples R China
[2] Ajou Univ, Dept Financial Engn, Suwon 443749, South Korea
[3] Tsinghua Univ, Sch Publ Policy & Management, Beijing 100084, Peoples R China
关键词
Non-additive probability; Strong law of large numbers; Independence; Upper expectation; Bernoulli experiment; STOCHASTIC CALCULUS; EXPECTED UTILITY; BROWNIAN-MOTION; LIMIT-THEOREM; CAPACITIES; AMBIGUITY;
D O I
10.1016/j.ijar.2012.06.002
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, with the notion of independence for random variables under upper expectations, we derive a strong law of large numbers for non-additive probabilities. This result is a natural extension of the classical Kolmogorov's strong law of large numbers to the case where the probability is no longer additive. As an application of our result, we give most frequent interpretation for Bernoulli-type experiments with ambiguity. (C) 2012 Elsevier Inc. All rights reserved.
引用
收藏
页码:365 / 377
页数:13
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