BOPA : a bayesian hierarchical model for outlier expression detection by Hong, Zhaoping

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BOPA : a Bayesian hierarchical model for outlier expression detection by Hong, Zhaoping, Lian, Heng

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Data-driven quantification of public–private partnership experience levels under uncertainty with Bayesian hierarchical model by Wang, Yongqi, Xiao, Zengqi, Tiong, Robert Lee Kong, Zhang, Limao

“…Third, the Bayesian hierarchical model is developed to locate the positions of the change points, and different experience levels are divided based on the location of change points. …”
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A Bayesian hierarchical model for reconstructing relative sea level: from raw data to rates of change by Cahill, Niamh, Kemp, Andrew C., Horton, Benjamin Peter, Parnell, Andrew C.

“…We present a Bayesian hierarchical model for reconstructing the continuous and dynamic evolution of relative sea-level (RSL) change with quantified uncertainty. …”
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Example-dependent cost-sensitive learning for public- private partnership contract failure prediction by Wang, Yongqi

“…First, a data-driven approach is used to quantify countries’ PPP experience levels through the hybrid Bayesian hierarchical model with uncertainties considered. Detailed data exploration and selection are carried out to clean the data source, followed by the change point detection using the hybrid Bayesian hierarchical model. …”
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A data driven design strategy to improve quality in additive manufacturing by Zhang, Yongjie

“…This enables greater understanding and prediction of localised features found in FFF parts. 4) Data- driven, physics-based prediction of mechanical properties of FFF parts. Bayesian hierarchical modelling is proposed to model the influence of process variability and uncertainty propagation on the mechanical performance. …”
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