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- W731497 abstract "Bayesian inference can be implemented for arbitrary probabilistic models using Markov chain Monte Carlo (MCMC) (Gelman, 1995) . But MCMC is computationally intensive and so not practical for most brain imaging applications. This chapter describes an alternative framework called ‘variational Bayes (VB)’ which is computationally efficient and can be applied to a large class of probabilistic models (Winn and Bishop, 2005) ." @default.
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- W731497 date "2007-01-01" @default.
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- W731497 title "Variational Bayes" @default.
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- W731497 doi "https://doi.org/10.1016/b978-012372560-8/50024-3" @default.
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