Almost sure limit theorems for the maxima of some strongly dependent Gaussian sequences
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Publication:651538
DOI10.1016/j.camwa.2011.05.044zbMath1228.60042OpenAlexW2079008468MaRDI QIDQ651538
Yingying Jiang, Yu Fu, Fu-ming Lin
Publication date: 18 December 2011
Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.camwa.2011.05.044
Gaussian processes (60G15) Extreme value theory; extremal stochastic processes (60G70) Strong limit theorems (60F15)
Related Items (2)
A note on the almost sure central limit theorems for the maxima of strongly dependent nonstationary Gaussian vector sequences ⋮ Almost sure convergence for the maxima and minima of strongly dependent nonstationary multivariate Gaussian sequences
Cites Work
- Almost sure central limit theorem for the products of \(U\)-statistics
- Almost sure convergence for the maxima of strongly dependent stationary Gaussian vector sequences
- An almost sure limit theorem for the maxima of strongly dependent Gaussian sequences
- Extremes and related properties of random sequences and processes
- A normal comparison inequality and its applications
- Almost sure limit theorems for the maximum of stationary Gaussian sequences
- Almost sure versions of distributional limit theorems for certain order statistics.
- A universal result in almost sure central limit theory.
- Almost sure max-limits for nonstationary Gaussian sequence
- On Strong Versions of the Central Limit Theorem
- An almost everywhere central limit theorem
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