Parameter estimation in stochastic grey-box models.
Niels Rode KristensenHenrik MadsenSten Bay JørgensenPublished in: Autom. (2004)
Keyphrases
- parameter estimation
- statistical models
- random fields
- model selection
- least squares
- markov random field
- maximum likelihood
- model fitting
- em algorithm
- estimation problems
- expectation maximization
- parameter values
- parameter estimation algorithm
- posterior distribution
- maximum likelihood estimation
- parameter estimates
- approximate inference
- markov chain monte carlo
- three dimensional
- structure learning
- gibbs sampling
- prior knowledge
- parameters estimation
- experimental data
- hidden markov models
- position estimation