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» Causal modelling combining instantaneous and lagged effects:...
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ICML
2008
IEEE
14 years 5 months ago
Causal modelling combining instantaneous and lagged effects: an identifiable model based on non-Gaussianity
Causal analysis of continuous-valued variables typically uses either autoregressive models or linear Gaussian Bayesian networks with instantaneous effects. Estimation of Gaussian ...
Aapo Hyvärinen, Patrik O. Hoyer, Shohei Shimi...
JMLR
2010
134views more  JMLR 2010»
12 years 11 months ago
Estimation of a Structural Vector Autoregression Model Using Non-Gaussianity
Analysis of causal effects between continuous-valued variables typically uses either autoregressive models or structural equation models with instantaneous effects. Estimation of ...
Aapo Hyvärinen, Kun Zhang, Shohei Shimizu, Pa...
AI
1998
Springer
13 years 4 months ago
Reasoning About Actions: Steady Versus Stabilizing State Constraints
In formal approaches to commonsense reasoning about actions. the Ramification Problem denotes the problem of handling indirect effects which implicitly derive from so-called state...
Michael Thielscher
ESEM
2009
ACM
13 years 11 months ago
Using security metrics coupled with predictive modeling and simulation to assess security processes
: © Using Security Metrics Coupled with Predictive Modeling and Simulation to Assess Security Processes Yolanta Beres, Marco Casassa Mont, Jonathan Griffin, Simon Shiu HP Laborato...
Yolanta Beres, Marco Casassa Mont, Jonathan Griffi...