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Bayesian Computational Tools
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DOI：10.1146/annurev-statistics-022513-115543.png)
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Abstract
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This article surveys advances in the field of Bayesian computation over the past 20 years from a purely personal viewpoint, hence containing some om-missions given the spectrum of the field. Monte Carlo, MCMC, and ABC themes are covered here, whereas the rapidly expanding area of particle methods is only briefly mentioned and different approximative techniques such as variational Bayes and linear Bayes methods do not appear at all. This article also contains some novel computational entries on the double-exponential model that may be of interest.
Keywords:
ABC algorithms
Bayesian inference
consistence
Gibbs sampler
MCMC methods
simulation
Journal
IF:
8.7
Papers:
211
Citations:
2.4K
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