Bayesian Parameter Estimation Using Periodic Cost Functions.
Tirza RouttenbergJoseph TabrikianPublished in: IEEE Trans. Signal Process. (2012)
Keyphrases
- parameter estimation
- cost function
- posterior distribution
- maximum likelihood
- bayesian model selection
- markov chain monte carlo
- least squares
- em algorithm
- model selection
- markov random field
- random fields
- statistical models
- parameters estimation
- markov fields
- parameter values
- maximum likelihood estimation
- metropolis hastings algorithm
- approximate inference
- particle physics
- bayesian networks
- bayesian inference
- model fitting
- computer vision
- expectation maximization
- structure learning
- parameter estimation algorithm
- estimation problems
- machine learning
- hyperparameters
- position estimation
- variational inference
- parameter estimates
- gibbs sampling
- posterior probability