Maximum likelihood parameter estimation with iterative and stochastic measurement schedule.
Haoran CuiXiaoxu WangQuan PanPublished in: FUSION (2017)
Keyphrases
- parameter estimation
- maximum likelihood
- em algorithm
- scheduling problem
- expectation maximization
- random fields
- maximum likelihood estimation
- statistical models
- parameter estimation algorithm
- likelihood function
- parameter values
- maximum a posteriori
- covariance matrices
- structure learning
- approximate inference
- parameter estimates
- gaussian distribution
- model fitting
- parameters estimation
- synthetic aperture radar
- model selection
- parameter learning
- gibbs sampling
- markov random field
- estimation problems
- higher order