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Robust network scale-up method estimators
DOI:10.1016/j.socnet.2025.08.002.png)
摘要
En 中文
• 我们提出了使用位置估计量的经典NSUM的稳健版本。
• 在社会网络和污染场景的模拟中对稳健NSUM进行分析。
• 在COVID-19和投票意向的数据集上评估了NSUM估计量。
Keyword:
Network scale-up method
Aggregated relational data
Robust estimators
Adaptive procedures
M-estimators
期刊
IF:
2.4
论文数:
126
被引数:
6.8K
机构
引用论文
Kunke, J.P., Laga, I., Niu, X., McCormick, T.H., 2024. Comparing the robustness of simple network scale-up method (nsum) estimators. https://arxiv.org/abs/2303.07490, http://arxiv.org/abs/2303.07490[ arXiv:2303.07490].Kunke, J.P., Laga, I., Niu, X., McCormick, T.H., 2024. 比较简单网络比例推算方法(nsum)估计量的稳健性。https://arxiv.org/abs/2303.07490, http://arxiv.org/abs/2303.07490[ arXiv:2303.07490].
Improving the Network Scale-Up Estimator: Incorporating Means of Sums, Recursive Back Estimation, and Sampling Weights
PLOS ONE
IF0
Díaz-Aranda, S., Aguilar, J., Ramírez, J.M., Rabanedo, D., Fernández-Anta, A., Lillo, R., 2024. Performance analysis of nsum estimators in social-network topologies. The American Statistician 0, 1–18. 10.1080/00031305.2024.2421361.Díaz-Aranda, S., Aguilar, J., Ramírez, J.M., Rabanedo, D., Fernández-Anta, A., Lillo, R., 2024. 社交网络拓扑中nsum估计器的性能分析。The American Statistician 0, 1–18. 10.1080/00031305.2024.2421361.
Ocagli, H., Azzolina, D., Lorenzoni, G., Gallipoli, S., Martinato, M., Acar, A.S., Berchialla, P., Gregori, D., Group, I.S., 2021. Using social networks to estimate the number of covid-19 cases: The incident (hidden covid-19 cases network estimation) study protocol. International Journal of Environmental Research and Public Health 18, 5713.Ocagli, H., Azzolina, D., Lorenzoni, G., Gallipoli, S., Martinato, M., Acar, A.S., Berchialla, P., Gregori, D., Group, I.S., 2021. 利用社交媒体估算新冠病例数量:事件(隐藏新冠病例网络估算)研究方案。国际环境研究与公共卫生杂志,18卷,5713页。
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