Exact Convergence Rate for the Maximum of Standardized Gaussian Increments

2008 | journal article; research paper. A publication with affiliation to the University of Göttingen.

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​Exact Convergence Rate for the Maximum of Standardized Gaussian Increments​
Kabluchko, Z. & Munk, A. ​ (2008) 
Electronic Communications in Probability13(none) art. 30​.​ DOI: https://doi.org/10.1214/ECP.v13-1380 

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Authors
Kabluchko, Zakhar; Munk, Axel 
Abstract
We prove an almost sure limit theorem on the exact convergence rate of the maximum of standarized gaussian random walk increments. This gives a more precise version of Shao's theorem (Shao, Q.-M., 1995. On a conjecture of Revesz. Proc. Amer. Math. Soc. 123, 575-582) in the gaussian case.
Issue Date
2008
Journal
Electronic Communications in Probability 
ISSN
1083-589X
Language
English

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