In exploring causal relationships, the study delves into testing aspects of causal discovery by determining if a hidden causal graph belongs to a specified Markov equivalence class. The approach involves establishing lower and upper bounds on the required number of conditional independence tests.
Testing the causal relationships within Markov equivalence classes is a manageable task requiring fewer independence tests compared to learning.