摘要

Let {X, X-n; n >= 0} be a sequence of independent and identically distributed random variables in a sub-linear expectation space (Omega, H, (E) over cap). We establish a complete convergence theorem of the maximum of partial sums max(1 <= j <= n) |Sigma(j)(i=1) X-i| under optimal moment condition in a sub-linear expectation space. Our result generalizes and improves the corresponding results.

  • 单位
    桂林理工大学