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Under complete data, there are closed-form maximum likelihood estimators for mixed Bayesian networks composed of discrete models [1], conditional Gaussian models [2] and conditional Gaussian regression models [2]. We describe an extension to Lauritzen’ expectation-maximisation (EM) algorithm [3], which estimates the parameters of discrete networks from incomplete data, to the more general case ...

Data have significant economic or social value in many application fields including science, business, governance, etc. This naturally leads to the emergence of data markets such as GBDEx and YoueData. As a result, trade through has started receive attentions from both industry academia. During buying selling, how price is an indispensable problem. However, pricing incomplete more challenging, ...