计算机应用研究2016，Vol.33Issue(5)：1433-1436,4.DOI:10.3969/j.issn.1001-3695.2016.05.035
企业运行指标因果分析的动态贝叶斯网络方法
Dynamic Bayesian network method for causal analysis between enterprise operation indexes
摘要
Abstract
In the light of those methods now available for analyzing enterprises operation indexes are emphasizing only dynamic or static information,and have not realized the combinations between those two kinds of different information.This paper set up a dynamic Bayesian network method for causal analysis among enterprises operation indexes.The model could combine dynamic time sequence and static causal relationships of panel data as a whole,could analyze both dynamic and static causal relationships through quantitative inference without the assumptions of liner causal relationships.Communicating with the ex-perts in the relative field,the model can primely be used to analyze multi-variables dynamic causal relationships contained in the data.关键词
企业运行指标/因果分析/动态贝叶斯网络/马尔可夫毯Key words
enterprise operation indexes/causal analysis/dynamic Bayesian networks/Markov blanket分类
信息技术与安全科学引用本文复制引用
高瑞,王双成,杜瑞杰..企业运行指标因果分析的动态贝叶斯网络方法[J].计算机应用研究,2016,33(5):1433-1436,4.基金项目
上海市自然科学基金资助项目（15ZR1429700）；上海市教委科研创新资助项目 （）
