BSL: An R Package for Efficient Parameter Estimation for Simulation-Based Models via Bayesian Synthetic Likelihood.
Ziwen AnLeah F. SouthChristopher C. DrovandiPublished in: J. Stat. Softw. (2022)
Keyphrases
- parameter estimation
- maximum likelihood
- statistical models
- model selection
- posterior distribution
- random fields
- em algorithm
- likelihood function
- estimation problems
- least squares
- model fitting
- markov random field
- expectation maximization
- markov chain monte carlo
- bayesian model selection
- gibbs sampling
- parameter estimates
- markov fields
- parameter values
- parameter estimation algorithm
- maximum likelihood estimation
- similarity measure
- posterior probability
- probabilistic model
- approximate inference
- statistical model
- probability distribution
- variational inference
- parameters estimation
- hidden markov models
- bayesian networks
- data mining
- metropolis hastings algorithm