9 search results - page 1 / 2 » Methods for Quantifying the Causal Structure of bivariate Ti... |
IJBC
2007
13 years 10 months ago
2007
KDD
2009
ACM
14 years 11 months ago
2009
ACM
Time series prediction is an important issue in a wide range of areas. There are various real world processes whose states vary continuously, and those processes may have influenc...
JMLR
2011
13 years 5 months ago
2011
A widely agreed upon definition of time series causality inference, established in the seminal 1969 article of Clive Granger (1969), is based on the relative ability of the histor...
JMLR
2008
13 years 10 months ago
2008
Pointwise consistent, feasible procedures for estimating contemporaneous linear causal structure from time series data have been developed using multiple conditional independence ...
ICSE
2010
IEEE-ACM
14 years 3 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...