Asymptotic Behavior of Posterior Distribution for Random Processes under Incorrect Models.
Keigo YamadaPublished in: Optimization Techniques (1975)
Keyphrases
- posterior distribution
- bayesian framework
- prior distribution
- parameter estimation
- gibbs sampler
- probabilistic model
- probability distribution
- maximum a posteriori
- bayesian estimation
- markov chain monte carlo
- prior knowledge
- latent variables
- image processing
- bayesian methods
- missing data
- learning process
- high dimensional