Abstract
We obtain an almost sure version of a maximum limit theorem for stationary Gaussian random fields under some covariance conditions. As a by-product, we also obtain a weak convergence of the stationary Gaussian random field maximum, which is interesting independently.
| Original language | English |
|---|---|
| Pages (from-to) | 449-454 |
| Number of pages | 6 |
| Journal | Journal of the Korean Statistical Society |
| Volume | 39 |
| Issue number | 4 |
| DOIs | |
| State | Published - 2010.12 |
Keywords
- Almost sure limit theorem
- Extreme value theory
- Maximum
- Stationary Gaussian random field
Quacquarelli Symonds(QS) Subject Topics
- Mathematics
- Statistics & Operational Research
- Data Science
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