Parameter estimation of two-level nonlinear mixed effects models using first order conditional linearization and the EM algorithm.
Liyong FuMingliang WangYuancai LeiShouzheng TangPublished in: Comput. Stat. Data Anal. (2014)
Keyphrases
- parameter estimation
- em algorithm
- expectation maximization
- statistical models
- maximum likelihood
- model selection
- mixture model
- random fields
- mixed effects
- least squares
- posterior distribution
- markov chain monte carlo
- incomplete data
- generative model
- maximum likelihood estimation
- gaussian mixture model
- probabilistic model
- gibbs sampling
- likelihood function
- parameter estimation algorithm
- approximate inference
- markov random field
- finite mixture model
- gaussian mixture
- maximum a posteriori
- structure learning
- computer vision
- bayesian inference
- parameter learning
- closed form
- maximum likelihood estimates
- higher order
- feature space
- bayesian networks