Maximum likelihood parameter estimation from incomplete data via the sensitivity equations: the continuous-time case.
Charalambos D. CharalambousAndrew LogothetisPublished in: IEEE Trans. Autom. Control. (2000)
Keyphrases
- parameter estimation
- maximum likelihood
- incomplete data
- em algorithm
- expectation maximization
- learning bayesian networks
- likelihood function
- maximum likelihood estimation
- hyperparameters
- missing values
- maximum a posteriori
- random fields
- generative model
- missing data
- statistical models
- posterior distribution
- approximate inference
- parameter learning
- parameter estimation algorithm
- synthetic aperture radar
- incomplete data sets
- parameter estimates
- gaussian distribution
- probability density function
- markov chain
- state space
- markov random field
- structure learning
- bayesian networks
- estimation problems
- model selection
- least squares
- input image
- image processing
- feature selection