Keyphrases
- parameter estimation
- markov chain monte carlo
- least squares
- maximum likelihood
- statistical models
- model selection
- markov random field
- posterior distribution
- random fields
- em algorithm
- model fitting
- expectation maximization
- approximate inference
- parameter estimation algorithm
- parameters estimation
- gibbs sampling
- random sampling
- estimation problems
- metropolis hastings algorithm
- structure learning
- sample size
- computer vision
- maximum likelihood estimation
- parameter values
- machine learning
- bayesian networks
- bayesian model selection