Exact Convergence Rate for the Maximum of Standardized Gaussian Increments

نویسندگان

  • ZAKHAR KABLUCHKO
  • AXEL MUNK
چکیده

We prove an almost sure limit theorem on the exact convergence rate of the maximum of standardized gaussian random walk increments. This gives a more precise version of Shao’s theorem (Shao, Q.-M., 1995. On a conjecture of Révész. Proc. Amer. Math. Soc. 123, 575-582) in the gaussian case.

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تاریخ انتشار 2008