Variational Bayes model averaging for graphon functions and motif frequencies inference in W-graph models.
Pierre LatoucheStéphane RobinPublished in: Stat. Comput. (2016)
Keyphrases
- variational bayes
- model averaging
- posterior distribution
- hyperparameters
- latent variables
- bayesian inference
- probability distribution
- bayesian learning
- free energy
- parameter estimation
- gaussian mixture model
- bayesian framework
- bayesian methods
- expectation propagation
- model selection
- markov chain monte carlo
- maximum a posteriori
- log likelihood
- latent dirichlet allocation
- posterior probability
- expectation maximization
- prior information
- closed form
- cross validation
- exponential family
- maximum likelihood
- random variables
- prior knowledge
- noise level
- gaussian distribution
- support vector
- gaussian process
- hidden variables
- em algorithm