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Efficient fully Bayesian approach to brain activity mapping with complex-valued fMRI data.

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Title: Efficient fully Bayesian approach to brain activity mapping with complex-valued fMRI data.
Authors: Wang Z; School of Mathematical and Statistical Sciences, Clemson University, Clemson, SC, USA., Rowe DB; Department of Mathematical and Statistical Sciences, Marquette University, Milwaukee, WI, USA., Li X; School of Mathematical and Statistical Sciences, Clemson University, Clemson, SC, USA., Andrew Brown D; School of Mathematical and Statistical Sciences, Clemson University, Clemson, SC, USA.
Source: Journal of applied statistics [J Appl Stat] 2024 Nov 04; Vol. 52 (6), pp. 1299-1314. Date of Electronic Publication: 2024 Nov 04 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Routledge, Taylor & Francis Country of Publication: England NLM ID: 9883455 Publication Model: eCollection Cited Medium: Print ISSN: 0266-4763 (Print) Linking ISSN: 02664763 NLM ISO Abbreviation: J Appl Stat Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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        Value: 10.1080/02664763.2024.2422392
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      – TitleFull: Efficient fully Bayesian approach to brain activity mapping with complex-valued fMRI data.
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              Text: 2024 Nov 04
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