Model selection and parameter estimation for chemical reactions using global model structure.
L. G. M. de SouzaH. HaidaDominique ThéveninAndreas Seidel-MorgensternGábor JanigaPublished in: Comput. Chem. Eng. (2013)
Keyphrases
- parameter estimation
- model selection
- statistical models
- least squares
- parameter values
- maximum likelihood
- parameter estimation algorithm
- cross validation
- markov random field
- bayesian learning
- information criterion
- em algorithm
- regression model
- hyperparameters
- random fields
- model fitting
- selection criterion
- sample size
- likelihood function
- structure learning
- posterior distribution
- bayesian model selection
- automatic model selection
- expectation maximization
- probabilistic model
- parameter estimates
- bayesian information criterion
- marginal likelihood
- statistical model
- gaussian process
- energy function
- mixture model
- generative model
- statistical inference
- optical flow
- pairwise
- feature selection
- machine learning