An optimal experimental design strategy for improving parameter estimation in stochastic models.
Chunbing HuangFederica CattaniFederico GalvaninPublished in: Comput. Chem. Eng. (2023)
Keyphrases
- parameter estimation
- experimental design
- stochastic models
- stochastic processes
- random fields
- maximum likelihood
- least squares
- model selection
- stochastic model
- markov random field
- em algorithm
- sample size
- active learning
- empirical studies
- expectation maximization
- optimal solution
- approximate inference
- steady state
- worst case
- probability distribution