70 search results - page 1 / 14 » Temporal causal modeling with graphical granger methods |
KDD
2007
ACM
14 years 4 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...
KDD
2009
ACM
13 years 9 months ago
2009
ACM
We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
ICDM
2010
IEEE
13 years 2 months ago
2010
IEEE
Temporal causal modeling has been a highly active research area in the last few decades. Temporal or time series data arises in a wide array of application domains ranging from med...
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...
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...