Parameter Estimation in Type 1 Diabetes Models for Model-Based Control Applications.
Dimitri BoirouxZeinab MahmoudiJohn Bagterp JørgensenPublished in: ACC (2019)
Keyphrases
- parameter estimation
- statistical models
- model selection
- random fields
- least squares
- maximum likelihood
- model fitting
- em algorithm
- estimation problems
- markov random field
- parameter estimation algorithm
- approximate inference
- expectation maximization
- markov chain monte carlo
- structure learning
- parameter estimates
- parameters estimation
- parameter values
- maximum likelihood estimation
- posterior distribution
- probabilistic model
- linear model
- machine learning
- conditional random fields
- gibbs sampling
- image sequences
- three dimensional
- markov fields
- image segmentation