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Distributed Dynamic Process Monitoring Based on Minimal Redundancy Maximal Relevance Variable Selection and Bayesian Inference.
Kai Zhong
Min Han
Tie Qiu
Bing Han
Yen-Wei Chen
Published in:
IEEE Trans. Control. Syst. Technol. (2020)
Keyphrases
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bayesian inference
variable selection
probabilistic model
input variables
hyperparameters
cross validation
prior information
statistical inference
high dimensional
model selection
high dimensional data
data mining
dimension reduction
particle filter
pattern recognition