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This paper presents a novel time varying dynamic Bayesian network (TVDBN) model for the analysis of nonstationary sequences which are of interest in many fields. The changing network structure and parameter in TVDBN are treated as random processes whose values at each time epoch determine a stationary DBN model; this DBN model is then used to specify the distribution of data sequence at the time epoch...
New technologies help epidemiologists model the socioeconomic context of disease outbreaks. Epidemiologists and computer scientists are developing new data-driven, high-performance-computing-powered inference engines to model the socioeconomic context and strategies necessary to counter disease outbreaks.
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