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Power Analysis for Causal Discovery. 因果发现的功率分析
IF 3.4 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
International Journal of Data Science and Analytics
Pub Date : 2024-04-01 Epub Date: 2023-06-27 DOI: 10.1007/s41060-023-00399-4
Erich Kummerfeld, Leland Williams, Sisi Ma

Causal discovery algorithms have the potential to impact many fields of science. However, substantial foundational work on the statistical properties of causal discovery algorithms is still needed. This paper presents what is to our knowledge the first method for conducting power analysis for causal discovery algorithms. The power sample characteristics of causal discovery algorithms typically cannot be described by a closed formula, but we resolve this problem by developing a new power sample analysis method based on standardized in silico simulation experiments. Our procedure generates data with carefully controlled statistical effect sizes in order to enable an accurate numerical power sample analysis. We present that method, apply it to generate an initial power analysis table, provide a web interface for searching this table, and show how the table or web interface can be used to solve several types of real world power analysis problems, such as sample size planning, interpretation of results, and sensitivity analysis.

因果发现算法有可能对许多科学领域产生影响。然而，在因果发现算法的统计特性方面仍需要大量的基础性工作。据我们所知，本文首次提出了对因果发现算法进行幂次分析的方法。因果发现算法的功率样本特征通常无法用封闭公式来描述，但我们通过开发一种基于标准化硅学模拟实验的新功率样本分析方法解决了这一问题。我们的程序生成的数据具有严格控制的统计效应大小，从而能够进行精确的数字功率样本分析。我们介绍了该方法，并将其应用于生成初始功率分析表，提供了一个用于搜索该表的网络界面，并展示了如何使用该表或网络界面来解决现实世界中的几类功率分析问题，如样本大小规划、结果解释和敏感性分析。
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引用次数: 0
Discrete double factors of a family of odd Weibull-G distributions: features and modeling 奇数 Weibull-G 分布系列的离散双因子：特征与建模
IF 2.4 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
International Journal of Data Science and Analytics
Pub Date : 2023-12-29 DOI: 10.1007/s41060-023-00487-5
M. El-Morshedy, H. S. Shahen, M. Eliwa
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引用次数: 0
Artificial intelligence trend analysis in German business and politics: a web mining approach 德国商业和政治领域的人工智能趋势分析：一种网络挖掘方法
IF 2.4 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
International Journal of Data Science and Analytics
Pub Date : 2023-12-20 DOI: 10.1007/s41060-023-00483-9
Philipp Dumbach, Leo Schwinn, Tim Löhr, Tassilo Elsberger, Bjoern M. Eskofier
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引用次数: 0
Speech-based detection of multi-class Alzheimer’s disease classification using machine learning 利用机器学习进行基于语音的多类阿尔茨海默病分类检测
IF 2.4 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
International Journal of Data Science and Analytics
Pub Date : 2023-12-19 DOI: 10.1007/s41060-023-00475-9
Tripti Tripathi, Rakesh Kumar
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引用次数: 0
Policies and metrics for schedulers in cloud data-centers using CloudSim simulator 使用 CloudSim 模拟器制定云数据中心调度程序的政策和指标
IF 2.4 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
International Journal of Data Science and Analytics
Pub Date : 2023-12-15 DOI: 10.1007/s41060-023-00478-6
L. Sankaran, J. S. Saleema, Basem Suleiman
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引用次数: 0
Implementation of air pollution traceability method based on IF-GNN-FC model with multiple-source data 基于多源数据 IF-GNN-FC 模型的空气污染溯源方法的实现
IF 2.4 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
International Journal of Data Science and Analytics
Pub Date : 2023-12-15 DOI: 10.1007/s41060-023-00482-w
Hong Fang, Jindong Liang, Jifen Wang
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引用次数: 0
Leveraging big data analytics for intelligent transportation systems: optimize the internet of vehicles data structure and modeling 利用大数据分析实现智能交通系统：优化车联网数据结构和建模
IF 2.4 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
International Journal of Data Science and Analytics
Pub Date : 2023-12-14 DOI: 10.1007/s41060-023-00481-x
Gebeyehu Belay Gebremeskel
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引用次数: 0
Hybrid fuzzy clustering technique to enhance the performance based on a fusion of intuitionistic modified fuzzy c-means and improved genetic algorithm 基于直觉修正模糊 c-means 和改进遗传算法的混合模糊聚类技术以提高性能
IF 2.4 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
International Journal of Data Science and Analytics
Pub Date : 2023-12-14 DOI: 10.1007/s41060-023-00474-w
Niteesh Kumar, Harendra Kumar, Dipa Sharma
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引用次数: 0
Spectral pursuit for simultaneous sparse representation with accuracy guarantees 保证精度的同时稀疏表示的谱追求
IF 2.4 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
International Journal of Data Science and Analytics
Pub Date : 2023-12-11 DOI: 10.1007/s41060-023-00480-y
Guihong Wan, H. Schweitzer
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引用次数: 0
Cryptocurrencies asset classification and pricing using CNN and RNN 使用 CNN 和 RNN 进行加密货币资产分类和定价
IF 2.4 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
International Journal of Data Science and Analytics
Pub Date : 2023-12-09 DOI: 10.1007/s41060-023-00485-7
Qiyu Wang
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引用次数: 0
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