Bayesian learning of probability density functions: A Markov chain Monte Carlo approach.
Simone Del FaveroDamiano VaragnoloGianluigi PillonettoPublished in: CDC (2012)
Keyphrases
- bayesian learning
- probability density function
- markov chain monte carlo
- posterior distribution
- probability distribution
- posterior probability
- bayesian framework
- expectation maximization
- hyperparameters
- em algorithm
- density estimation
- parameter estimation
- mixture model
- latent variables
- generative model
- model selection
- maximum a posteriori
- exponential family
- random variables
- prior knowledge
- gaussian mixture model
- similarity measure
- statistical analysis
- markov chain
- semi supervised
- gaussian process
- reinforcement learning
- bayesian networks