arXiv
Open Access
2025
Concentration inequalities for strong laws and laws of the iterated logarithm
Johannes Ruf
Ian Waudby-Smith
Abstrak
We derive concentration inequalities for sums of independent and identically distributed random variables that yield non-asymptotic generalizations of several strong laws of large numbers including some of those due to Kolmogorov [1930], Marcinkiewicz and Zygmund [1937], Chung [1951], Baum and Katz [1965], Ruf, Larsson, Koolen, and Ramdas [2023], and Waudby-Smith, Larsson, and Ramdas [2024]. As applications, we derive non-asymptotic iterated logarithm inequalities in the spirit of Darling and Robbins [1967], as well as pathwise (sometimes described as "game-theoretic") analogues of strong laws and laws of the iterated logarithm.
Penulis (2)
J
Johannes Ruf
I
Ian Waudby-Smith
Akses Cepat
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- Tahun Terbit
- 2025
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