Switch to: Citations

Add references

You must login to add references.
  1. A transformational characterization of Markov equivalence for directed acyclic graphs with latent variables.Jiji Zhang & Peter Spirtes - unknown
    Different directed acyclic graphs may be Markov equivalent in the sense that they entail the same conditional independence relations among the observed variables. Chickering provided a transformational characterization of Markov equivalence for DAGs, which is useful in deriving properties shared by Markov equivalent DAGs, and, with certain generalization, is needed to prove the asymptotic correctness of a search procedure over Markov equivalence classes, known as the GES algorithm. For DAG models with latent variables, maximal ancestral graphs provide a neat representation (...)
    Download  
     
    Export citation  
     
    Bookmark   3 citations  
  • Equivalence of causal models with latent variables.Peter Spirtes & Thomas Verma - unknown
    Peter Spirtes and Thomas Verma. Equivalence of Causal Models with Latent Variables.
    Download  
     
    Export citation  
     
    Bookmark   3 citations  
  • A polynomial time algorithm for determining Dag equivalence in the presence of latent variables and selection bias.Peter Spirtes - unknown
    if and only if for every W in V, W is independent of the set of all its non-descendants conditional on the set of its parents. One natural question that arises with respect to DAGs is when two DAGs are “statistically equivalent”. One interesting sense of “statistical equivalence” is “d-separation equivalence” (explained in more detail below.) In the case of DAGs, d-separation equivalence is also corresponds to a variety of other natural senses of statistical equivalence (such as representing the same (...)
    Download  
     
    Export citation  
     
    Bookmark   2 citations