A polynomial chaos based Bayesian approach for on-line parameter estimation and control.
Faidra StavropoulouJohannes MüllerPublished in: CACSD (2011)
Keyphrases
- parameter estimation
- maximum likelihood
- least squares
- model selection
- statistical models
- parameter estimation algorithm
- random fields
- markov random field
- em algorithm
- expectation maximization
- model fitting
- parameter values
- posterior distribution
- approximate inference
- parameters estimation
- maximum likelihood estimation
- control system
- gibbs sampling
- bayesian networks
- estimation problems
- parameter estimates
- structure learning
- belief functions
- machine learning