Assessing the Impact of Block Size on Block Likelihood Estimation: A Comparative Study
Fuente:
arXiv
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| Autore principale: | |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866911644976676864 |
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| author | Alegría, Alfredo |
| author_facet | Alegría, Alfredo |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_11265 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Assessing the Impact of Block Size on Block Likelihood Estimation: A Comparative Study Alegría, Alfredo Methodology Statistics Theory 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. |
| title | Assessing the Impact of Block Size on Block Likelihood Estimation: A Comparative Study |
| topic | Methodology Statistics Theory |
| url | https://arxiv.org/abs/2401.11265 |