{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,26]],"date-time":"2026-07-26T14:00:43Z","timestamp":1785074443388,"version":"3.55.0"},"reference-count":30,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100004826","name":"Beijing Natural Science Foundation","doi-asserted-by":"publisher","award":["1242005"],"award-info":[{"award-number":["1242005"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100018656","name":"Hang Seng University of Hong Kong","doi-asserted-by":"publisher","award":["CN760046\/23.05.2023"],"award-info":[{"award-number":["CN760046\/23.05.2023"]}],"id":[{"id":"10.13039\/100018656","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100018656","name":"Hang Seng University of Hong Kong","doi-asserted-by":"publisher","award":["PNRR-III-C9-2022-I8"],"award-info":[{"award-number":["PNRR-III-C9-2022-I8"]}],"id":[{"id":"10.13039\/100018656","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100018656","name":"Hang Seng University of Hong Kong","doi-asserted-by":"publisher","award":["CF166\/ 15.11.2022"],"award-info":[{"award-number":["CF166\/ 15.11.2022"]}],"id":[{"id":"10.13039\/100018656","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004260","name":"Renmin University of China","doi-asserted-by":"publisher","award":["25XNN015"],"award-info":[{"award-number":["25XNN015"]}],"id":[{"id":"10.13039\/501100004260","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100010665","name":"H2020 Marie Sk\u0142odowska-Curie Actions","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100010665","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computational Statistics & Data Analysis"],"published-print":{"date-parts":[[2026,12]]},"DOI":"10.1016\/j.csda.2026.108431","type":"journal-article","created":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T15:38:33Z","timestamp":1780501113000},"page":"108431","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Dynamic nonparametric functional graphical model"],"prefix":"10.1016","volume":"224","author":[{"given":"Zhaoya","family":"Zhou","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Man-lai","family":"Tang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianxin","family":"Pan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Keming","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wolfgang Karl","family":"H\u00e4rdle","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0515-4477","authenticated-orcid":false,"given":"Maozai","family":"Tian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.csda.2026.108431_bib0001","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1090\/S0002-9947-1973-0336795-3","article-title":"Joint measures and cross-covariance operators","volume":"186","author":"Baker","year":"1973","journal-title":"Trans. Am. Math. Soc."},{"key":"10.1016\/j.csda.2026.108431_bib0002","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1016\/j.neuroimage.2013.06.042","article-title":"Disrupted cortico-cerebellar connectivity in older adults","volume":"83","author":"Bernard","year":"2013","journal-title":"Neuroimage"},{"key":"10.1016\/j.csda.2026.108431_bib0003","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1016\/j.neuroimage.2014.07.067","article-title":"Changes in structural and functional connectivity among resting-state networks across the human lifespan","volume":"102","author":"Betzel","year":"2014","journal-title":"Neuroimage"},{"key":"10.1016\/j.csda.2026.108431_bib0004","series-title":"Linear Processes in Function Spaces: Theory and Applications","volume":"Vol. 149","author":"Bosq","year":"2000"},{"key":"10.1016\/j.csda.2026.108431_bib0005","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1016\/j.dcn.2013.11.004","article-title":"Topological organization of the human brain functional connectome across the lifespan","volume":"7","author":"Cao","year":"2014","journal-title":"Develop. Cogn. Neurosci."},{"issue":"3","key":"10.1016\/j.csda.2026.108431_bib0006","doi-asserted-by":"crossref","first-page":"331","DOI":"10.1007\/s10208-006-0196-8","article-title":"Optimal rates for the regularized least-squares algorithm","volume":"7","author":"Caponnetto","year":"2007","journal-title":"Found. Comput. Math."},{"key":"10.1016\/j.csda.2026.108431_bib0007","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1016\/j.neuroimage.2017.01.077","article-title":"Effects of aging on functional and structural brain connectivity","volume":"160","author":"Damoiseaux","year":"2017","journal-title":"Neuroimage"},{"key":"10.1016\/j.csda.2026.108431_bib0008","series-title":"Regularization of Inverse Problems","volume":"Vol. 375","author":"Engl","year":"1996"},{"issue":"2","key":"10.1016\/j.csda.2026.108431_bib0009","article-title":"Statistical consistency of kernel canonical correlation analysis","volume":"8","author":"Fukumizu","year":"2007","journal-title":"J. Mach. Learn. Res."},{"key":"10.1016\/j.csda.2026.108431_bib0010","article-title":"Kernel measures of conditional dependence","volume":"20","author":"Fukumizu","year":"2007","journal-title":"Adv. Neural Inform. Process. Syst."},{"key":"10.1016\/j.csda.2026.108431_bib0011","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1016\/j.neurobiolaging.2016.02.020","article-title":"Age differences in the functional interactions among the default, frontoparietal control, and dorsal attention networks","volume":"41","author":"Grady","year":"2016","journal-title":"Neurobiol. Aging"},{"key":"10.1016\/j.csda.2026.108431_bib0012","series-title":"Theoretical Foundations of Functional Data Analysis, With an Introduction to Linear Operators","volume":"Vol. 997","author":"Hsing","year":"2015"},{"key":"10.1016\/j.csda.2026.108431_bib0013","first-page":"1","article-title":"Conditional functional graphical models","author":"Lee","year":"2021","journal-title":"J. Am. Stat. Assoc."},{"issue":"1","key":"10.1016\/j.csda.2026.108431_bib0014","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1214\/12-AOS1071","article-title":"A general theory for nonlinear sufficient dimension reduction: formulation and estimation","volume":"41","author":"Lee","year":"2013","journal-title":"Annals Stat."},{"key":"10.1016\/j.csda.2026.108431_bib0015","first-page":"1","article-title":"Nonparametric functional graphical modeling through functional additive regression operator","author":"Lee","year":"2022","journal-title":"J. Am. Stat. Assoc."},{"issue":"1","key":"10.1016\/j.csda.2026.108431_bib0016","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1002\/cjs.11329","article-title":"Linear operator-based statistical analysis: a useful paradigm for big data","volume":"46","author":"Li","year":"2018","journal-title":"Canad. J. Stat."},{"issue":"507","key":"10.1016\/j.csda.2026.108431_bib0017","doi-asserted-by":"crossref","first-page":"1188","DOI":"10.1080\/01621459.2014.882842","article-title":"On an additive semigraphoid model for statistical networks with application to pathway analysis","volume":"109","author":"Li","year":"2014","journal-title":"J. Am. Stat. Assoc."},{"issue":"524","key":"10.1016\/j.csda.2026.108431_bib0018","doi-asserted-by":"crossref","first-page":"1637","DOI":"10.1080\/01621459.2017.1356726","article-title":"A nonparametric graphical model for functional data with application to brain networks based on fMRI","volume":"113","author":"Li","year":"2018","journal-title":"J. Am. Stat. Assoc."},{"issue":"3","key":"10.1016\/j.csda.2026.108431_bib0019","doi-asserted-by":"crossref","first-page":"1059","DOI":"10.1214\/16-AOS1475","article-title":"Nonlinear sufficient dimension reduction for functional data","volume":"45","author":"Li","year":"2017","journal-title":"Annals Stat."},{"issue":"525","key":"10.1016\/j.csda.2026.108431_bib0020","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1080\/01621459.2017.1390466","article-title":"Functional graphical models","volume":"114","author":"Qiao","year":"2019","journal-title":"J. Am. Stat. Assoc."},{"issue":"2","key":"10.1016\/j.csda.2026.108431_bib0021","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1093\/biomet\/asz072","article-title":"Doubly functional graphical models in high dimensions","volume":"107","author":"Qiao","year":"2020","journal-title":"Biometrika"},{"issue":"3","key":"10.1016\/j.csda.2026.108431_bib0022","doi-asserted-by":"crossref","first-page":"539","DOI":"10.1111\/j.2517-6161.1991.tb01844.x","article-title":"Some tools for functional data analysis","volume":"53","author":"Ramsay","year":"1991","journal-title":"J. Royal Stat. Soc. Ser. B (Methodol.)"},{"key":"10.1016\/j.csda.2026.108431_bib0023","article-title":"Functional data analysis","author":"Ramsay","year":"2008","journal-title":"\u0130nternet Adresi: http"},{"key":"10.1016\/j.csda.2026.108431_bib0024","first-page":"1","article-title":"Copula Gaussian graphical models for functional data","author":"Solea","year":"2020","journal-title":"J. Am. Stat. Assoc."},{"issue":"5","key":"10.1016\/j.csda.2026.108431_bib0025","doi-asserted-by":"crossref","first-page":"549","DOI":"10.1038\/mp.2011.81","article-title":"Aging and functional brain networks","volume":"17","author":"Tomasi","year":"2012","journal-title":"Mol. Psych."},{"issue":"1","key":"10.1016\/j.csda.2026.108431_bib0026","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1006\/nimg.2001.0978","article-title":"Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain","volume":"15","author":"Tzourio-Mazoyer","year":"2002","journal-title":"Neuroimage"},{"key":"10.1016\/j.csda.2026.108431_bib0027","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1146\/annurev-statistics-041715-033624","article-title":"Functional data analysis","volume":"3","author":"Wang","year":"2016","journal-title":"Annu. Rev. Stat. Its Appl."},{"issue":"8","key":"10.1016\/j.csda.2026.108431_bib0028","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1371\/journal.pone.0044530","article-title":"Decoding lifespan changes of the human brain using resting-state functional connectivity MRI","volume":"7","author":"Wang","year":"2012","journal-title":"PLOS ONE"},{"issue":"2","key":"10.1016\/j.csda.2026.108431_bib0029","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0055347","article-title":"Topological organization of functional brain networks in healthy children: differences in relation to age, sex, and intelligence","volume":"8","author":"Wu","year":"2013","journal-title":"PloS One"},{"issue":"3","key":"10.1016\/j.csda.2026.108431_bib0030","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1007\/s12021-016-9299-4","article-title":"Dpabi: data processing & analysis for (resting-state) brain imaging","volume":"14","author":"Yan","year":"2016","journal-title":"Neuroinformatics"}],"container-title":["Computational Statistics & Data Analysis"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0167947326001003?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0167947326001003?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,26]],"date-time":"2026-07-26T13:17:14Z","timestamp":1785071834000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0167947326001003"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,12]]},"references-count":30,"alternative-id":["S0167947326001003"],"URL":"https:\/\/doi.org\/10.1016\/j.csda.2026.108431","relation":{},"ISSN":["0167-9473"],"issn-type":[{"value":"0167-9473","type":"print"}],"subject":[],"published":{"date-parts":[[2026,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Dynamic nonparametric functional graphical model","name":"articletitle","label":"Article Title"},{"value":"Computational Statistics & Data Analysis","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.csda.2026.108431","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"108431"}}