Online Change-Point Detection of Linear Regression Models

IEEE Transactions on Signal Processing(2019)

引用 18|浏览16
暂无评分
摘要
In this paper, we consider the problem of quickly detecting an abrupt change in linear regression models. Specifically, an observer sequentially obtains a sequence of observations, whose underlying linear model changes at an unknown time. Moreover, the pre-change linear model is perfectly known by the observer but the post-change linear model is unknown. The observer aims to design an efficient on...
更多
查看译文
关键词
Observers,Biological system modeling,Signal processing algorithms,Linear regression,Bayes methods,Change detection algorithms,Delays
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要