activity
20122024
most citedStrong Faithfulness and Uniform Consistency in Causal Inference

69 citations · 235 across the 19 of their papers we have counts for

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5 papers · 1 filter

cs.AI2012★ 69 cited

Strong Faithfulness and Uniform Consistency in Causal Inference

Jiji Zhang, Peter L. Spirtes

A fundamental question in causal inference is whether it is possible to reliably infer manipulation effects from observational data. There are a variety of senses of asymptotic rel…

cs.AI2012★ 3 cited

A Transformational Characterization of Markov Equivalence for Directed Acyclic Graphs with Latent Variables

Jiji Zhang, Peter L. Spirtes

Different directed acyclic graphs (DAGs) may be Markov equivalent in the sense that they entail the same conditional independence relations among the observed variables. Chickering…

stat.ME2012★ 6 cited

Towards Characterizing Markov Equivalence Classes for Directed Acyclic Graphs with Latent Variables

Ayesha R. Ali, Thomas S. Richardson, Peter L. Spirtes +1

It is well known that there may be many causal explanations that are consistent with a given set of data. Recent work has been done to represent the common aspects of these explana…

cs.AI2012★ 56 cited

Adjacency-Faithfulness and Conservative Causal Inference

Joseph Ramsey, Jiji Zhang, Peter L. Spirtes

Most causal inference algorithms in the literature (e.g., Pearl (2000), Spirtes et al. (2000), Heckerman et al. (1999)) exploit an assumption usually referred to as the causal Fait…

stat.ME2012★ 4 cited

A Characterization of Markov Equivalence Classes for Directed Acyclic Graphs with Latent Variables

Jiji Zhang

Different directed acyclic graphs (DAGs) may be Markov equivalent in the sense that they entail the same conditional independence relations among the observed variables. Meek (1995…