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He et al., 2015 - Google Patents

Counting and exploring sizes of Markov equivalence classes of directed acyclic graphs

He et al., 2015

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Document ID
12242300709084471964
Author
He Y
Jia J
Yu B
Publication year
Publication venue
The Journal of Machine Learning Research

External Links

Snippet

When learning a directed acyclic graph (DAG) model via observational data, one generally cannot identify the underlying DAG, but can potentially obtain a Markov equivalence class. The size (the number of DAGs) of a Markov equivalence class is crucial to infer causal …
Continue reading at www.jmlr.org (PDF) (other versions)

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