Alexander Marx

Testing Conditional Independence on Discrete Data using Stochastic\n Complexity

2019 · arXiv (Cornell University)

Testing for conditional independence is a core aspect of constraint-based\ncausal discovery. Although commonly used tests are perfect in theory, they\noften fail to reject independence in practice, especially when conditioning on\nmultiple variables.\n We focus on discrete …