Maximum Likelihood Parameter Estimation for Non-Gaussian Prior Signal Models.
Richard R. SchultzRobert L. StevensonAndrew LumsdainePublished in: ICIP (2) (1994)
Keyphrases
- parameter estimation
- maximum likelihood
- statistical models
- em algorithm
- random fields
- gaussian distribution
- expectation maximization
- model selection
- maximum a posteriori
- likelihood function
- model fitting
- maximum likelihood estimation
- markov random field
- estimation problems
- parameter estimation algorithm
- parameter estimates
- least squares
- parameters estimation
- prior knowledge
- hyperparameters
- synthetic aperture radar
- parameter learning
- markov chain monte carlo
- parameter values
- approximate inference
- posterior distribution
- bayesian framework
- machine learning
- data mining
- probability density function
- non stationary