随机变量网络中阈值相似图的置信度

Statistical Analysis and Data Mining: The ASA Data Science Journal Pub Date : 2023-09-07 DOI:10.1002/sam.11642

P. Koldanov, A. Koldanov, D. P. Semenov

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摘要

研究了随机变量网络中图结构识别的不确定性问题。提出了一种构造图结构上、下置信区间的方法。将该方法应用于阈值相似图的上、下置信区间的构造。研究了置信区间的稳定性和上下置信区间的间隙。数值实验验证了理论结果。

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Confidence bounds for threshold similarity graph in random variable network

Problem of uncertainty of graph structure identification in random variable network is considered. An approach for the construction of upper and lower confidence bounds for graph structures is developed. This approach is applied for the construction of upper and lower confidence bounds for the threshold similarity graph. The stability of confidence bounds and gaps between upper and lower confidence bounds are investigated. Theoretical results are illustrated by numerical experiments.

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Statistical Analysis and Data Mining: The ASA Data Science Journal

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