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Non-parametric generation of multivariate cross-correlated random fields directly from sparse measurements using Bayesian compressive sensing and Markov chain Monte Carlo simulation Journal article
Li, Peiping, Wang, Yu, Guan, Zheng. Non-parametric generation of multivariate cross-correlated random fields directly from sparse measurements using Bayesian compressive sensing and Markov chain Monte Carlo simulation[J]. Stochastic Environmental Research and Risk Assessment, 2023, 37(12), 4607-4628.
Authors:  Li, Peiping;  Wang, Yu;  Guan, Zheng
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:3.9/3.6 | Submit date：2024/01/02
Bayesian Compressive Sensing  Cross-correlated Random Field Samples  Non-parametric Method  Reliability Analysis  Sparse Measurements  
Predicting ground-level ozone concentrations by adaptive Bayesian model averaging of statistical seasonal models Journal article
K. M. Mok, K. V. Yuen, K. I. Hoi, K. M. Chao, D. Lopes. Predicting ground-level ozone concentrations by adaptive Bayesian model averaging of statistical seasonal models[J]. Stochastic Environmental Research and Risk Assessment, 2017, 32(5), 1283-1297.
Authors:  K. M. Mok;  K. V. Yuen;  K. I. Hoi;  K. M. Chao;  D. Lopes
Favorite | TC[WOS]:10 TC[Scopus]:12  IF:3.9/3.6 | Submit date：2018/10/30
Adaptive Bayesian Model Averaging  Kalman Filter  Model Switching  Ozone Prediction  Statistical Model