Sequential dependence modeling using Bayesian theory and D-vine copula and its application on chemical process risk prediction

Industrial and Engineering Chemistry Research

Volumn 53, Issue 38, 2014, Pages 14788-14801

  Ren, Xiang ^a   Li, Shaojun ^a   Lv, Cheng ^a   Zhang, Ziyang ^a  

^a School of Information Science and Engineering   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; DECISION THEORY; FORECASTING; HIGHER ORDER STATISTICS; MARKOV CHAINS; MONTE CARLO METHODS;

BACK PROPAGATION NEURAL NETWORKS; CONDITIONAL DEPENDENCE; CONFIDENCE INTERVAL; MARKOV CHAIN MONTE CARLO SIMULATION; MULTIPLE TIME SERIES; PREDICTION PERFORMANCE; PREDICTIVE DISTRIBUTIONS; SYSTEM IDENTIFICATION METHODS;

PREDICTIVE ANALYTICS;

EID: 84924021306     PISSN: 08885885     EISSN: 15205045     Source Type: Journal    
DOI: 10.1021/ie501863u     Document Type: Article

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