Process monitoring using probabilistic graphical models via nonparametric density estimation * *The authors would like to thank financial support from the National Natural Science Foundation of China (Grant No. 61203088, 61563018), the Natural Science Foundation of Jiangxi (Grant No.20161ACB20009) and the open project of Key Laboratory of Advanced Process Control for Light Industry(Jiangnan University), Ministry of Education.