Discovering Causal Relations From Cross-Sectional Data

This study is to verify that the Bayesian Network can be used for discovering causal relations from cross-sectional data. Using the PCB, LIMB, and TC algorithm, this study analyzes causal relations in the real data from the National Health and Nutrition Examination Survey. Experimental results show that these algorithms can discover causal relations to various degrees.