Variational Bayesian identification and prediction of stochastic nonlinear dynamic causal models
type: Item
instance of: scholarly article
title: Variational Bayesian identification and prediction of stochastic nonlinear dynamic causal models
zbMATH Open document ID: 1229.62027
published in: Physica D
publication date: 2009-11-18T00:00:00Z
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 62M10
Mathematics Subject Classification ID: 62M20
Mathematics Subject Classification ID: 37D45
Mathematics Subject Classification ID: 65C05
zbMATH DE Number: 5634858
zbMATH Keywords: approximate inference
zbMATH Keywords: model comparison
zbMATH Keywords: EM
zbMATH Keywords: Laplace approximation
zbMATH Keywords: free-energy
zbMATH Keywords: SDE
zbMATH Keywords: nonlinear state-space models
zbMATH Keywords: DCM
zbMATH Keywords: Kalman filter
zbMATH Keywords: rauch smoother
author: Jean Daunizeau
author: Karl J. Friston
author: Stefan J. Kiebel
describes a project that uses: BayesDA
Wikidata QID: Q42592039
MaRDI profile type: Publication
full work available at URL: j.physd.2009.08.002
OpenAlex ID: W1980246751
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DOI: 10.1016/J.PHYSD.2009.08.002
description: scientific article; zbMATH DE number 5634858