A Penalized Likelihood Approach to Parameter Estimation with Integral Reliability Constraints.
Barry SmithSteven WangAugustine WongXiaofeng ZhouPublished in: Entropy (2015)
Keyphrases
- parameter estimation
- penalized likelihood
- maximum likelihood
- em algorithm
- expectation maximization
- markov random field
- least squares
- statistical models
- maximum likelihood estimation
- model selection
- random fields
- parameter estimation algorithm
- structure learning
- posterior distribution
- approximate inference
- mixture model
- estimation problems
- constrained optimization
- position estimation
- model fitting
- log likelihood
- parameter values
- gaussian mixture model
- markov networks
- generative model
- parameter estimates