TSLiNGAM：沉重尾巴下的 DirectLiNGAM

IF 1.4 2区数学 Q2 STATISTICS & PROBABILITY

Journal of Computational and Graphical Statistics Pub Date : 2024-09-27 DOI:10.1080/10618600.2024.2394462

Sarah Leyder, Jakob Raymaekers, Tim Verdonck

引用次数: 0

摘要

发现因果关系的既定方法之一是将有向无环图（DAG）与结构因果模型（SCM）结合起来，以描述效应对...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

TSLiNGAM: DirectLiNGAM Under Heavy Tails

One of the established approaches to causal discovery consists of combining directed acyclic graphs (DAGs) with structural causal models (SCMs) to describe the functional dependencies of effects on...

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Journal of Computational and Graphical Statistics 数学-统计学与概率论

CiteScore

3.50

自引率

8.30%

发文量

153

审稿时长

>12 weeks

期刊介绍： The Journal of Computational and Graphical Statistics (JCGS) presents the very latest techniques on improving and extending the use of computational and graphical methods in statistics and data analysis. Established in 1992, this journal contains cutting-edge research, data, surveys, and more on numerical graphical displays and methods, and perception. Articles are written for readers who have a strong background in statistics but are not necessarily experts in computing. Published in March, June, September, and December.