189 citations · 846 across the 31 of their papers we have counts for
6 papers · 2 filters
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…
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…
A theoretical study of Y structures for causal discovery
Subramani Mani, Peter L. Spirtes, Gregory F. Cooper
There are several existing algorithms that under appropriate assumptions can reliably identify a subset of the underlying causal relationships from observational data. This paper i…
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…
Discovering Cyclic Causal Models by Independent Components Analysis
Gustavo Lacerda, Peter L. Spirtes, Joseph Ramsey +1
We generalize Shimizu et al's (2006) ICA-based approach for discovering linear non-Gaussian acyclic (LiNGAM) Structural Equation Models (SEMs) from causally sufficient, continuous-…
Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence (2010)
Peter Grunwald, Peter Spirtes
This is the Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence, which was held on Catalina Island, CA, July 8 - 11 2010.