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Bayesian model reduction and empirical Bayes for group (DCM) studies

Bayesian model reduction and empirical Bayes for group (DCM) studies

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4767224

Bayesian model reduction and empirical Bayes for group (DCM) studies

About this item

Full title

Bayesian model reduction and empirical Bayes for group (DCM) studies

Publisher

United States: Elsevier Inc

Journal title

NeuroImage (Orlando, Fla.), 2016-03, Vol.128, p.413-431

Language

English

Formats

Publication information

Publisher

United States: Elsevier Inc

More information

Scope and Contents

Contents

This technical note describes some Bayesian procedures for the analysis of group studies that use nonlinear models at the first (within-subject) level – e.g., dynamic causal models – and linear models at subsequent (between-subject) levels. Its focus is on using Bayesian model reduction to finesse the inversion of multiple models of a single datase...

Alternative Titles

Full title

Bayesian model reduction and empirical Bayes for group (DCM) studies

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4767224

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4767224

Other Identifiers

ISSN

1053-8119

E-ISSN

1095-9572

DOI

10.1016/j.neuroimage.2015.11.015

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