Uniformly Best Biased Estimators in Non-Bayesian Parameter Estimation.
Koby TodrosJoseph TabrikianPublished in: IEEE Trans. Inf. Theory (2011)
Keyphrases
- parameter estimation
- posterior distribution
- maximum likelihood
- estimation problems
- bayesian model selection
- markov chain monte carlo
- markov random field
- least squares
- em algorithm
- model selection
- parameter estimation algorithm
- statistical models
- approximate inference
- parameter values
- metropolis hastings algorithm
- markov fields
- random fields
- maximum likelihood estimation
- expectation maximization
- particle physics
- posterior probability
- gibbs sampling
- model fitting
- parameter estimates
- image restoration
- hyperparameters
- decision theory
- variational inference
- parameters estimation
- higher order
- bayesian networks
- image sequences