Sampling schemes and parameter estimation for nonlinear Bernoulli-Gaussian sparse models.
Megane BoudineauHervé CarfantanSébastien BourguignonMichael BazotPublished in: SSP (2016)
Keyphrases
- parameter estimation
- maximum likelihood
- statistical models
- model selection
- markov chain monte carlo
- random fields
- model fitting
- markov random field
- least squares
- em algorithm
- expectation maximization
- estimation problems
- parameter values
- parameter estimation algorithm
- experimental data
- maximum likelihood estimation
- statistical model
- exponential family
- parameter estimates
- mixture model
- approximate inference
- structure learning
- sample size
- dynamic model
- gibbs sampling
- high dimensional