69 citations
3 papers
cs.AI2013★ 62 cited
Why Is Diagnosis Using Belief Networks Insensitive to Imprecision In Probabilities?
Max Henrion, Malcolm Pradhan, Brendan del Favero +3
Recent research has found that diagnostic performance with Bayesian belief networks is often surprisingly insensitive to imprecision in the numerical probabilities. For example, th…
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…