Title
Causal Reasoning in Graphical Time Series Models
Abstract
We propose a definition of causality for time series in terms of the effect of an intervention in one component of a multivariate time series on another component at some later point in time. Conditions for identifiability, comparable to the back-door and front-door criteria, are presented and can also be verified graphically. Computation of the causal effect is derived and illustrated for the linear case.
Year
Venue
Keywords
2007
UAI
publication,causal reasoning,time series model,time series
DocType
Volume
Citations 
Conference
abs/1206.5246
7
PageRank 
References 
Authors
0.92
2
2
Name
Order
Citations
PageRank
Michael Eichler171.26
Vanessa Didelez2164.03