Optimal Noise for Bayesian Parameter Estimation.
Jia LiuFabing DuanFrançois Chapeau-BlondeauDerek AbbottPublished in: IEEE Access (2020)
Keyphrases
- parameter estimation
- maximum likelihood
- bayesian model selection
- posterior distribution
- least squares
- model selection
- em algorithm
- markov random field
- parameter estimation algorithm
- statistical models
- expectation maximization
- random fields
- markov chain monte carlo
- parameters estimation
- maximum likelihood estimation
- parameter values
- model fitting
- approximate inference
- machine learning
- dynamic programming
- posterior probability
- parameter estimates
- markov fields
- noise level
- synthetic aperture radar
- higher order
- gibbs sampling
- prior model
- color images
- pairwise
- data mining
- metropolis hastings algorithm