Approximate Bayesian inference in spatial GLMM with skew normal latent variables.
Fatemeh HosseiniJo EidsvikMohsen MohammadzadehPublished in: Comput. Stat. Data Anal. (2011)
Keyphrases
- bayesian inference
- latent variables
- probabilistic model
- expectation propagation
- variational bayes
- hidden variables
- variational approximation
- gaussian process
- posterior distribution
- hyperparameters
- graphical models
- approximate inference
- prior information
- prior knowledge
- latent variable models
- topic models
- markov networks
- random variables
- mixture model
- variational inference
- factor graphs
- structured prediction
- generative model
- observed variables
- bayesian networks
- probabilistic graphical models
- conditional random fields
- expectation maximization
- particle filter
- information retrieval
- structural svms