Maximum likelihood from spatial random effects models via the stochastic approximation expectation maximization algorithm.
Hongtu ZhuMinggao GuBradley S. PetersonPublished in: Stat. Comput. (2007)
Keyphrases
- expectation maximization
- stochastic approximation
- em algorithm
- maximum likelihood
- probabilistic model
- learning algorithm
- bayesian framework
- computational complexity
- k means
- generative model
- image segmentation
- dynamic programming
- random effects
- worst case
- objective function
- feature space
- tree structure
- maximum a posteriori
- search space
- model free
- policy iteration
- machine learning
- mixed effects