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» Causal inference using the algorithmic Markov condition
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CORR
2008
Springer
73views Education» more  CORR 2008»
13 years 9 months ago
Causal inference using the algorithmic Markov condition
Dominik Janzing, Bernhard Schölkopf
ESANN
2007
13 years 10 months ago
Exploring the causal order of binary variables via exponential hierarchies of Markov kernels
Abstract. We propose a new algorithm for estimating the causal structure that underlies the observed dependence among n (n ≥ 4) binary variables X1, . . . , Xn. Our inference pri...
Xiaohai Sun, Dominik Janzing
CORR
2010
Springer
154views Education» more  CORR 2010»
13 years 9 months ago
Causal Markov condition for submodular information measures
The causal Markov condition (CMC) is a postulate that links observations to causality. It describes the conditional independences among the observations that are entailed by a cau...
Bastian Steudel, Dominik Janzing, Bernhard Sch&oum...
JMLR
2008
94views more  JMLR 2008»
13 years 9 months ago
Using Markov Blankets for Causal Structure Learning
We show how a generic feature selection algorithm returning strongly relevant variables can be turned into a causal structure learning algorithm. We prove this under the Faithfuln...
Jean-Philippe Pellet, André Elisseeff
FLAIRS
2003
13 years 10 months ago
Algorithms for Large Scale Markov Blanket Discovery
This paper presents a number of new algorithms for discovering the Markov Blanket of a target variable T from training data. The Markov Blanket can be used for variable selection ...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...