The asymptotics of posterior entropy and error probability for Bayesian estimation.
Fumio KanayaTe Sun HanPublished in: IEEE Trans. Inf. Theory (1995)
Keyphrases
- bayesian estimation
- error probability
- posterior distribution
- upper bound
- probability distribution
- latent variables
- bayesian framework
- parameter estimation
- error criterion
- posterior probability
- hyperparameters
- sufficient conditions
- maximum a posteriori
- hidden variables
- random variables
- probabilistic model
- generalization error
- empirical risk
- objective function
- closed form
- cross validation
- gaussian distribution
- active learning
- prior knowledge
- large deviations
- feature vectors
- lower bound