A Bayesian Variable Selection Approach Yields Improved Detection of Brain Activation From Complex-Valued fMRI
Summary
A Bayesian Variable Selection Approach Yields Improved Detection of Brain Activation From Complex-Valued fMRI is a scholarly article[1].
Key Facts
A Bayesian Variable Selection Approach Yields Improved Detection of Brain Activation From Complex-Valued fMRI's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A Bayesian Variable Selection Approach Yields Improved Detection of Brain Activation From Complex-Valued fMRI. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-bayesian-variable-selection-approach-yields-improved-detection-of-brain-activation-from-complex-valued-fmri