Strong laws of large numbers for capacities

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Backward Stochastic Differential Equation, Nonlinear Expectation and Their Applications (2011, background): “For a strong version of LLN under our new framework of independence, see Chen (2010).”
Random periodic processes, periodic measures and ergodicity (2014, background): “d in this investigation to prove that the SLLN holds for random periodic processes/periodic measures. We would like to mention that in a diﬀerent direction, the SLLN was also investigated recently in [7] for independent and identically distributed random variables in the sense of non-additive probab”
Rosenthal’s inequalities for independent and negatively dependent random variables under sub-linear expectations with applications (2014, methodology): “Recently, Chen (2010) obtained Kolmogorov’s strong law of larger numbers for i.i.d. random variables under the condition of finite (1 + ǫ)-moments by establishing an inequality of an exponential moment of partial sums of truncated independent random variables.”