Learning Bayesian Networks without Assuming Missing at Random.

arXiv: Artificial Intelligence, (2016)

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Abstract:

We present new algorithms for learning Bayesian networks from data with missing values without the assumption that data are missing at random (MAR). An exact Bayesian network learning algorithm is obtained by recasting the problem into a standard Bayesian network learning problem without missing data. To the best of our knowledge, this is...More

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