Nonparametric Density Estimation of Hierarchical Probabilistic Graph Models for Assumption-Free Monitoring
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DOI: 10.1021/acs.iecr.6b04068
Abstract: Probabilistic graphical models, such as Bayesian networks, have recently gained attention in process monitoring and fault diagnosis. Their application, however, is limited to discrete or continuous Gaussian distributed variables, which results from the difficulty in… read more here.
Keywords: estimation; hierarchical probabilistic; density estimation; density ... See more keywords