Assessing the Impact of Block Size on Block Likelihood Estimation: A Comparative Study
Methodology
2026-05-06 v2 Statistics Theory
Statistics Theory
Abstract
This paper focuses on block likelihood estimation for geostatistical data, a method that balances statistical accuracy and computational efficiency. Central to this approach is the choice of block size, which can significantly impact performance. This study contributes by providing a thorough numerical investigation of the effects of large versus small block configurations. Findings from both simulation experiments and real-data analyses of sea surface temperature challenge the prevailing assumption that larger block sizes invariably lead to improved statistical performance.
Keywords
Cite
@article{arxiv.2401.11265,
title = {Assessing the Impact of Block Size on Block Likelihood Estimation: A Comparative Study},
author = {Alfredo Alegría},
journal= {arXiv preprint arXiv:2401.11265},
year = {2026}
}