The Markov condition (sometimes called Markov assumption) for a Bayesian network states that any node in a Bayesian network is conditionallyâ€¦Â (More)

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2010

2010

The causal Markov condition (CMC) is a postulate that links observations to causality. It describes the conditional independencesâ€¦Â (More)

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Highly Cited

2010

Highly Cited

2010

- Dominik Janzing, Bernhard SchÃ¶lkopf
- IEEE Transactions on Information Theory
- 2010

Inferring the causal structure that links n observables is usually based upon detecting statistical dependences and choosingâ€¦Â (More)

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2007

2007

- Mauricio SuÃ¡rez, IÃ±aki San Pedro, Roman Frigg, Alex Voorhoeve, John Worrall
- 2007

It is still a matter of controversy whether the Principle of the Common Cause (PCC) can be used as a basis for soundâ€¦Â (More)

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2006

2006

- Daniel Steel
- 2006

Hausman & Woodward present an argument for the Causal Markov Condition (CMC) on the basis of a principle they dub â€˜modularityâ€¦Â (More)

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2006

2006

Daniel Hausman and James Woodward claim to prove that the causal Markov condition, so important to Bayes-nets methods for causalâ€¦Â (More)

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Highly Cited

2006

Highly Cited

2006

- Joseph Ramsey, Jiji Zhang, Peter Spirtes
- UAI
- 2006

Most causal discovery algorithms in the literature exploit an assumption usually referred to as the Causal Faithfulness orâ€¦Â (More)

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2005

2005

- Daniel Steel
- 2005

The causal Markov condition (CMC) plays an important role in much recent work on the problem of causal inference from statisticalâ€¦Â (More)

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2005

2005

This paper explores the relationship between a manipulability conception of causation and the causal Markov condition (CM). Weâ€¦Â (More)

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2000

Highly Cited

2000

This essay explains what the Causal Markov Condition says and defends the condition from the many criticisms that have beenâ€¦Â (More)

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1996

1996

- John F. Lemmer
- SIGART Bulletin
- 1996

This paper provides <i>a priori</i> cirteria for determing when a causal model is sufficiently complete to be considered aâ€¦Â (More)

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