Combining Graphical Models and PCA for Statistical Process Control.
Roland FriedUrsula GatherMichael ImhoffMelanie KellerVivian LaniusPublished in: COMPSTAT (2002)
Keyphrases
- graphical models
- statistical process control
- belief propagation
- probabilistic model
- principal component analysis
- probabilistic inference
- approximate inference
- control charts
- random variables
- bayesian networks
- probabilistic graphical models
- conditional random fields
- structure learning
- exact inference
- statistical inference
- dimensionality reduction
- conditional independence
- feature space
- undirected graphical models
- structural learning
- neural network
- belief networks
- factor graphs
- map inference
- pairwise