When Is a Model Good Enough? Deriving the Expected Value of Model Improvement via Specifying Internal Model Discrepancies.
Mark StrongJeremy E. OakleyPublished in: SIAM/ASA J. Uncertain. Quantification (2014)
Keyphrases
- network model
- theoretical analysis
- mathematical model
- statistical model
- real time
- artificial intelligence
- databases
- formal model
- process model
- parameter estimation
- management system
- probabilistic model
- probability distribution
- computational model
- data model
- data mining
- objective function
- conceptual model
- neural network model
- bayesian framework
- high level
- parameter values
- machine learning