29 search results - page 1 / 6 » Granger Causality Analysis in Irregular Time Series |
SDM
2012
SIAM
11 years 7 months ago
2012
SIAM
Learning temporal causal structures between time series is one of the key tools for analyzing time series data. In many real-world applications, we are confronted with Irregular T...
JMLR
2010
12 years 11 months ago
2010
In time series analysis, inference about causeeffect relationships among multiple times series is commonly based on the concept of Granger causality, which exploits temporal struc...
CSDA
2007
13 years 4 months ago
2007
A time series is said to Granger cause another series if it has incremental predictive power when forecasting it. While Granger causality tests have been studied extensively in th...
KDD
2007
ACM
14 years 5 months ago
2007
ACM
The need for mining causality, beyond mere statistical correlations, for real world problems has been recognized widely. Many of these applications naturally involve temporal data...
ICSE
2010
IEEE-ACM
13 years 9 months ago
2010
IEEE-ACM
Change impact analysis aims at identifying software artifacts being affected by a change. In the past, this problem has been addressed by approaches relying on static, dynamic, a...