Neural Network Models for Conditional Distribution Under Bayesian Analysis.
Tatiana MiazhynskaiaSylvia Frühwirth-SchnatterGeorg DorffnerPublished in: Neural Comput. (2008)
Keyphrases
- neural network model
- bayesian analysis
- conditional distribution
- random variables
- gaussian process
- neural network
- probability distribution
- joint distribution
- computationally feasible
- artificial neural networks
- marginal distributions
- latent variable models
- posterior distribution
- bayesian framework
- latent variables
- regression model
- dirichlet process
- bayesian networks
- graphical models
- gaussian processes
- maximum entropy
- conditional probabilities
- hidden markov models