Empirical Bayes spatial prediction using a Monte Carlo EM algorithm.
Majid Jafari KhalediFiroozeh RivazPublished in: Stat. Methods Appl. (2009)
Keyphrases
- monte carlo
- em algorithm
- empirical bayes
- expectation maximization
- mixture model
- maximum likelihood
- gaussian mixture model
- maximum likelihood estimation
- parameter estimation
- markov chain
- incomplete data
- expectation maximisation
- monte carlo simulation
- gaussian mixture
- hyperparameters
- monte carlo tree search
- generative model
- importance sampling
- mixture modeling
- maximum a posteriori
- particle filter
- model based clustering
- finite mixture model
- variance reduction
- markovian decision
- penalized likelihood
- matrix inversion
- probabilistic model
- probability density function
- unsupervised learning
- density estimation