Parameter Estimation: The Proper Way to Use Bayesian Posterior Processes with Brownian Noise.
Asaf CohenPublished in: Math. Oper. Res. (2015)
Keyphrases
- parameter estimation
- random fields
- stochastic processes
- maximum likelihood
- least squares
- em algorithm
- statistical models
- markov random field
- model selection
- parameter estimation algorithm
- parameters estimation
- parameter values
- approximate inference
- posterior distribution
- maximum likelihood estimation
- expectation maximization
- noise level
- model fitting
- generative model
- structure learning
- gibbs sampling
- higher order
- three dimensional