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» Issues in Temporal and Causal Inference
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AAAI
1990
13 years 8 months ago
An Approach to Reasoning About Continuous Change for Applications in Planning
There are many planning applications that require an agent to coordinate its activities with processes that change continuously over time. Several proposals have been made for com...
Thomas Dean, Greg Siegle
KDD
2009
ACM
230views Data Mining» more  KDD 2009»
14 years 20 hour ago
Grouped graphical Granger modeling methods for temporal causal modeling
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...
Aurelie C. Lozano, Naoki Abe, Yan Liu, Saharon Ros...
JMLR
2010
194views more  JMLR 2010»
13 years 2 months ago
Graphical Gaussian modelling of multivariate time series with latent variables
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...
Michael Eichler
MEDINFO
2007
102views Healthcare» more  MEDINFO 2007»
13 years 9 months ago
Automatic Treatment of Temporal Issues in Clinical Guidelines in the GLARE System
Temporal constraints play a fundamental role in clinical guidelines. For example, temporal indeterminacy, constraints about duration, delays between actions and periodic repetitio...
Luca Anselma, Paolo Terenziani, Stefania Montani, ...
JMLR
2011
187views more  JMLR 2011»
13 years 2 months ago
Robust Statistics for Describing Causality in Multivariate Time Series
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...
Florin Popescu