16 citations · 22 across the 3 of their papers we have counts for
3 papers
stat.AP2025
Intelligent data collection for network discrimination in material flow analysis using Bayesian optimal experimental design
Jiankan Liao, Xun Huan, Daniel Cooper
Material flow analyses (MFAs) are powerful tools for highlighting resource efficiency opportunities in supply chains. MFAs are often represented as directed graphs, with nodes deno…
stat.AP2025★ 6 cited
Bayesian Model Selection for Network Discrimination and Risk-informed Decision Making in Material Flow Analysis
Jiankan Liao, Xun Huan, Daniel Cooper
Material flow analyses (MFAs) provide insight into supply chain level opportunities for resource efficiency. MFAs can be represented as networks with nodes that represent materials…
stat.AP2022★ 16 cited
Expert Elicitation and Data Noise Learning for Material Flow Analysis using Bayesian Inference
Jiayuan Dong, Jiankan Liao, Xun Huan +1
Bayesian inference allows the transparent communication of uncertainty in material flow analyses (MFAs), and a systematic update of uncertainty as new data become available. Howeve…