<?xml version="1.0" encoding="UTF-8"?><rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcq="http://purl.org/dc/terms/"><records count="1" morepages="false" start="1" end="1"><record rownumber="1"><dc:product_type>Journal Article</dc:product_type><dc:title>Efficient fully Bayesian approach to brain activity mapping with complex-valued fMRI data</dc:title><dc:creator>Wang, Zhengxin; Rowe, Daniel B; Li, Xinyi; Brown, Andrew D</dc:creator><dc:corporate_author/><dc:editor/><dc:description/><dc:publisher>Taylor &amp; Francis</dc:publisher><dc:date>2024-11-04</dc:date><dc:nsf_par_id>10621131</dc:nsf_par_id><dc:journal_name>Journal of Applied Statistics</dc:journal_name><dc:journal_volume>52</dc:journal_volume><dc:journal_issue>6</dc:journal_issue><dc:page_range_or_elocation>1299 to 1314</dc:page_range_or_elocation><dc:issn>0266-4763</dc:issn><dc:isbn/><dc:doi>https://doi.org/10.1080/02664763.2024.2422392</dc:doi><dcq:identifierAwardId>2210658</dcq:identifierAwardId><dc:subject/><dc:version_number/><dc:location/><dc:rights/><dc:institution/><dc:sponsoring_org>National Science Foundation</dc:sponsoring_org></record></records></rdf:RDF>