广义路径模型：
- Lu L, Wang B, Hong Y, et al. General path models for degradation data with multiple characteristics and covariates. Technometrics, 2021, 63(3): 354-369.
维纳过程：
- Fang G, Pan R. A class of hierarchical multivariate wiener processes for modeling dependent degradation data. Technometrics, 2024, 66(2): 141-156.
伽马过程：
- Song K, Cui L. A common random effect induced bivariate gamma degradation process with application to remaining useful life prediction. Reliability engineering & system safety, 2022, 219: 108200.
逆高斯过程：
-
Liangliang Zhuang, Ancha Xu*, Guanqi Fang, and Yincai Tang. Multivariate reparameterized inverse Gaussian processes with common effects for degradation-based reliability prediction, Journal of Quality Technology, (2024). [code]
-
Fang G, Pan R, Wang Y. Inverse Gaussian processes with correlated random effects for multivariate degradation modeling. European Journal of Operational Research, 2022, 300(3): 1177-1193.
Student-t过程:
- Ancha Xu, Guanqi Fang, Liangliang Zhuang* and Cheng Gu. A multivariate Student-t process model for dependent tail-weighted degradation data, IISE Transactions, (2024). [PDF], [code]