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» Optimal Causal Inference
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JMLR
2010
194views more  JMLR 2010»
13 years 3 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
IRAL
2003
ACM
14 years 1 months ago
Question-Answering based on virtually integrated lexical knowledge base
This paper proposes an algorithm for causality inference based on a set of lexical knowledge bases that contain information about such items as event role, is-a hierarchy, relevan...
Key-Sun Choi, Jae-Ho Kim, Masaru Miyazaki, Jun Got...
JMLR
2011
187views more  JMLR 2011»
13 years 3 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
SYNTHESE
2008
92views more  SYNTHESE 2008»
13 years 8 months ago
Explanatory warrant for scientific realism
Nancy Cartwright relies upon an inference pattern known as inference to the best causal explanation (IBCE) to support a limited form of entity realism, according to which we are wa...
Robert Pierson, Richard Reiner
FLAIRS
2010
13 years 10 months ago
Commonsense Inference in Dynamic Spatial Systems: Epistemological Requirements
We demonstrate the role of commonsense inference toward the modeling of qualitative notions of space and spatial change within a dynamic setup. The inference patterns are connecte...
Mehul Bhatt