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» A Linear Non-Gaussian Acyclic Model for Causal Discovery
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JMLR
2011
142views more  JMLR 2011»
13 years 7 days ago
Causal Search in Structural Vector Autoregressive Models
This paper reviews a class of methods to perform causal inference in the framework of a structural vector autoregressive model. We consider three different settings. In the first ...
Alessio Moneta, Nadine Chlass, Doris Entner, Patri...
IJCAI
1997
13 years 6 months ago
A Study of Causal Discovery With Weak Links and Small Samples
Weak causal relationships and small sample size pose two significant difficulties to the automatic discovery of causal models from observational data. This paper examines the infl...
Honghua Dai, Kevin B. Korb, Chris S. Wallace, Xind...
JMLR
2006
113views more  JMLR 2006»
13 years 5 months ago
Learning the Structure of Linear Latent Variable Models
We describe anytime search procedures that (1) find disjoint subsets of recorded variables for which the members of each subset are d-separated by a single common unrecorded cause...
Ricardo Silva, Richard Scheines, Clark Glymour, Pe...
CORR
2010
Springer
168views Education» more  CORR 2010»
13 years 3 months ago
Gaussian Process Structural Equation Models with Latent Variables
In a variety of disciplines such as social sciences, psychology, medicine and economics, the recorded data are considered to be noisy measurements of latent variables connected by...
Ricardo Silva
CONCUR
2000
Springer
13 years 9 months ago
LP Deadlock Checking Using Partial Order Dependencies
Model checking based on the causal partial order semantics of Petri nets is an approach widely applied to cope with the state space explosion problem. One of the ways to exploit su...
Victor Khomenko, Maciej Koutny