Xiang Ren

Sequential Dependence Modeling Using Bayesian Theory and D-Vine Copula and Its Application on Chemical Process Risk Prediction

Shaojun Li, Xiang Ren, Cheng Lv, 2014 .

Probabilistic Weighted Copula Regression Model With Adaptive Sample Selection Strategy for Complex Industrial Processes

Shaojun Li, Yang Zhou, Xiang Ren, 2020, IEEE Transactions on Industrial Informatics.

Nonlinear Non-Gaussian and Multimode Process Monitoring-Based Multi-Subspace Vine Copula and Deep Neural Network

Shaojun Li, Yang Zhou, Xiang Ren, 2020 .

Enhancing Quality of Multivariate Process Monitoring Based on Vine Copula and Active Learning Strategy

Shaojun Li, Yang Zhou, Xiang Ren, 2018 .

Fault Detection and Diagnosis for Nonlinear and Non-Gaussian Processes Based on Copula Subspace Division

Shaojun Li, Kunping Zhu, Shaojun Li, 2017 .

Vine Copula-Based Dependence Description for Multivariate Multimode Process Monitoring

Shaojun Li, Shaojun Li, Ying Tian, 2015 .

Predicting the frequency of abnormal events in chemical process with Bayesian theory and vine copula

Xiang Ren, Ziyang Zhang, Cheng Lv, 2014 .