Bayesian parameter estimation for the Wnt pathway: an infinite mixture models approach.
Konstantinos KoutroumpasPaolo BallariniIrene VotsiPaul-Henry CournèdePublished in: Bioinform. (2016)
Keyphrases
- parameter estimation
- mixture model
- maximum likelihood
- em algorithm
- expectation maximization
- posterior distribution
- model selection
- signaling pathways
- bayesian model selection
- gaussian mixture model
- dirichlet prior
- statistical models
- density estimation
- markov chain monte carlo
- maximum likelihood estimation
- random fields
- gibbs sampling
- likelihood function
- parameter estimation algorithm
- generative model
- maximum a posteriori
- systems biology
- hyperparameters
- gaussian mixture
- approximate inference
- mixture modeling
- markov random field
- generalized em algorithm
- probability density function
- probabilistic model
- covariance matrices
- cross validation
- variational inference
- active learning
- markov fields
- k means
- bayesian networks
- image sequences
- computer vision
- machine learning