Multi-output Extreme Spatial Model for Complex Aircraft Production Systems
Problem definition: Data-driven models in machine learning have enabled efficient management of production systems. However, a majority of machine learning models are devoted to modeling the mean response or average pattern, which is inappropriate for studying abnormal extreme events that are often of primary interest in aircraft manufacturing. Since extreme events from heavy-tailed distributions give rise to prohibitive expenditures in system management, sophisticated extreme models are urgently needed to analyze complex extreme risks. Engineering applications of extreme models usually focus on individual extreme events, which is insufficient for complex systems with correlations. Method...
| Authors | Cheolhei Lee, Xing Wang, Xiaowei Yue et al. |
|---|---|
| Primary category | stat.AP |
| Published | 24 April 2026 |
| Last updated at source | 24 April 2026 |
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