Properties of the posterior distribution of a regression model based on Gaussian random fields.
Alexey A. ZaitsevEvgeny V. BurnaevVladimir G. SpokoinyPublished in: Autom. Remote. Control. (2013)
Keyphrases
- random fields
- posterior distribution
- gibbs sampler
- parameter estimation
- random field model
- maximum likelihood
- markov random field
- marginal distributions
- model selection
- latent variables
- probability distribution
- gaussian distribution
- model averaging
- probabilistic model
- maximum entropy
- non stationary
- bayesian estimation
- prior distribution
- bayesian framework
- conditional random fields
- em algorithm
- hyperparameters
- markov chain monte carlo
- bayesian inference
- expectation maximization
- markov chain
- maximum a posteriori
- posterior probability
- denoising
- least squares
- multiscale
- support vector