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Fig. 2 | BMC Medical Research Methodology

Fig. 2

From: Treatment of missing data in Bayesian network structure learning: an application to linked biomedical and social survey data

Fig. 2

Schematic diagram of Structural Expectation-Maximization algorithm. SEM has two components: E-step and M-step. It considers a BN structure for the incomplete data at the very beginning. Then it applies the iterative two steps, alternating E-step and M-step. E-step estimates the values of missing data by computing the expected statistics using the current network structure. The M-step maximizes the scoring function and updates the resulting network structure. These two steps are repeated until convergence is met

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BMC Medical Research Methodology

ISSN: 1471-2288

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