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math.ST updates on arXiv.org

What is Learnable in Valiant's Theory of the Learnable? 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Assessing the Impact of Block Size on Block Likelihood Estimation: A Comparative Study
Alfredo Alegría · 2024-01-21 · via math.ST updates on arXiv.org

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.

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