Complex-valued Bayesian parameter estimation via Markov chain Monte Carlo.
Ying LiuChunguang LiPublished in: Inf. Sci. (2016)
Keyphrases
- parameter estimation
- markov chain monte carlo
- complex valued
- posterior distribution
- real valued
- maximum likelihood
- em algorithm
- gibbs sampling
- markov random field
- model selection
- random fields
- approximate inference
- least squares
- expectation maximization
- bayesian model selection
- metropolis hastings algorithm
- image processing
- bayesian framework
- prior model
- hidden markov models
- image segmentation