Regularized EM algorithm for sparse parameter estimation in nonlinear dynamic systems with application to gene regulatory network inference.
Bin JiaXiaodong WangPublished in: EURASIP J. Bioinform. Syst. Biol. (2014)
Keyphrases
- parameter estimation
- em algorithm
- expectation maximization
- maximum likelihood
- metropolis hastings algorithm
- random fields
- least squares
- structure learning
- gibbs sampling
- maximum likelihood estimation
- parameter learning
- approximate inference
- bayesian model selection
- markov chain monte carlo
- dynamic bayesian networks
- gene regulatory networks
- undirected graphical models
- model selection
- likelihood function
- generative model
- markov random field
- partition function
- posterior distribution
- probabilistic model
- hyperparameters
- exact inference
- incomplete data
- maximum a posteriori
- image processing
- prior knowledge
- video sequences