A model parameter estimation method using Mathematica© applied to transient chemical engineering processes.
Sabrine MejriHousam BinousKamal MahgoubAhmed BellagiPublished in: Comput. Appl. Eng. Educ. (2018)
Keyphrases
- parameter estimation
- em algorithm
- maximum likelihood estimation
- model fitting
- parameters estimation
- model selection
- parameter estimation algorithm
- markov random field
- parameter estimates
- maximum likelihood
- random fields
- least squares
- statistical models
- probabilistic model
- gibbs sampling
- statistical model
- prior knowledge
- expectation maximization
- mrf model
- bayesian framework
- parameter values
- linear model
- parameter learning
- likelihood function
- chemical engineering
- three dimensional
- posterior distribution
- parameter space
- probability distribution
- moving objects
- similarity measure
- parametric models
- linear models
- closed form
- covariance matrix
- experimental data
- machine learning
- metropolis hastings algorithm