The Monte Carlo EM method for the parameter estimation of biological models.
Alessio AngiusAndrás HorváthPublished in: Electron. Notes Theor. Comput. Sci. (2011)
Keyphrases
- parameter estimation
- monte carlo
- em algorithm
- monte carlo simulation
- markov chain monte carlo
- maximum likelihood
- model selection
- expectation maximization
- model fitting
- least squares
- statistical models
- probabilistic model
- monte carlo method
- markov random field
- markov chain
- maximum likelihood estimation
- parameter estimates
- posterior distribution
- parameters estimation
- random fields
- structure learning
- estimation problems
- parameter learning
- approximate inference
- similarity measure
- particle filter
- computational cost
- maximum likelihood estimates
- computer vision
- global illumination
- adaptive sampling
- machine learning
- parameter estimation algorithm
- gibbs sampling
- parametric models
- maximum a posteriori
- sample size
- generative model
- bayesian networks