Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs

Graphical modeling plays a key role in causal theory, allowing A key characteristic of an MEC is its size, i. e., the number to express complex causal phenomena in an elegant, of DAGs in the class. It indicates uncertainty of the causal mathematically sound way. One of the most popular graphical model inferred from observational data and it serves as an models are directed acyclic graphs (DAGs), which represent indicator for the performance of recovering true causal effects.