On computational aspects of Bayesian spatial models: influence of the neighboring structure in the efficiency of MCMC algorithms.
Vinícius D. MayrinkDani GamermanPublished in: Comput. Stat. (2009)
Keyphrases
- markov chain monte carlo
- computational complexity
- machine learning algorithms
- highly efficient
- computational efficiency
- mathematical models
- machine learning
- bayesian models
- optimization problems
- efficient optimization
- maximum likelihood
- spatio temporal
- computational cost
- random fields
- spatial patterns
- gaussian processes
- posterior distribution
- incomplete data
- computationally efficient
- model selection
- markov chain
- graphical models
- probabilistic model