This paper explores the e↵ects of parameter sharing on Bayesian network (BN) parameter learning when there is incomplete data. Using the Expectation Maximization (EM) algorithm, we investigate how varying degrees of parameter sharing, varying number of hidden nodes, and di↵erent dataset sizes impact EM performance. The specific metrics of EM performance examined are: likelihood, error, and the ...