Variational Bayesian Inference for a Nonlinear Forward Model

Variational Bayesian Inference for a Nonlinear Forward Model

Variational Bayes (VB) has been proposed as a method to facilitate calculations of the posterior distributions for linear models, by providing a fast method for Bayesian inference by estimating the parameters of a factorized approximation to the posterior distribution. Here a VB method for nonlinear...

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Bibliographic Details
Main Authors:	Chappell, M, Groves, A, Whitcher, B, Woolrich, M
Format:	Journal article
Language:	English
Published:	2009

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