A superstructure-based design of experiments framework for simultaneous domain-restricted model identification and parameter estimation.
Calvin TsayRichard C. PattisonMichael BaldeaBen G. WeinsteinSteven J. HodsonRobert D. JohnsonPublished in: Comput. Chem. Eng. (2017)
Keyphrases
- parameter estimation
- probabilistic model
- parameter values
- em algorithm
- conceptual model
- random fields
- model selection
- bayesian framework
- least squares
- markov random field
- maximum likelihood
- expectation maximization
- statistical models
- experimental data
- maximum likelihood estimation
- gibbs sampling
- probability distribution
- parameters estimation
- parameter estimation algorithm
- metropolis hastings algorithm
- structure learning
- statistical model
- approximate inference
- machine learning
- similarity measure
- three dimensional
- image segmentation