Efficient fully Bayesian approach to brain activity mapping with complex-valued fMRI data.
Saved in:
| 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 |
|
Full text is not displayed to guests.
Login for full access.
|
|
Be the first to leave a comment!