{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:14:25Z","timestamp":1740132865006,"version":"3.37.3"},"reference-count":38,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Signal Process. Lett."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/lsp.2024.3418712","type":"journal-article","created":{"date-parts":[[2024,7,9]],"date-time":"2024-07-09T19:34:30Z","timestamp":1720553670000},"page":"1975-1979","source":"Crossref","is-referenced-by-count":0,"title":["High-Dimensional MVAR Model Identification Based on Structured Sparsity Penalization"],"prefix":"10.1109","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-3185-4061","authenticated-orcid":false,"given":"Z.","family":"Fang","sequence":"first","affiliation":[{"name":"INSERM, LTSI – UMR 1099, Univ- Rennes, Rennes, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2109-5649","authenticated-orcid":false,"given":"L.","family":"Albera","sequence":"additional","affiliation":[{"name":"INSERM, LTSI – UMR 1099, Univ- Rennes, Rennes, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2651-378X","authenticated-orcid":false,"given":"A.","family":"Kachenoura","sequence":"additional","affiliation":[{"name":"INSERM, LTSI – UMR 1099, Univ- Rennes, Rennes, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3833-7915","authenticated-orcid":false,"given":"H.","family":"Shu","sequence":"additional","affiliation":[{"name":"CRIBs, Southeast University, Nanjing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4532-5744","authenticated-orcid":false,"given":"Y.","family":"Kang","sequence":"additional","affiliation":[{"name":"Shenzhen Technology University, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4050-2895","authenticated-orcid":false,"given":"R. Le Bouquin","family":"Jeann\u00e8s","sequence":"additional","affiliation":[{"name":"INSERM, LTSI – UMR 1099, Univ- Rennes, Rennes, France"}]}],"member":"263","reference":[{"issue":"8","key":"ref1","doi-asserted-by":"crossref","first-page":"1902","DOI":"10.1016\/j.clinph.2020.04.172","article-title":"EEG autoregressive modeling analysis: A diagnostic tool for patients with epilepsy without epileptiform discharges","volume":"131","author":"Ouyang","year":"2020","journal-title":"Clin. Neuriophysiol."},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICBSII51839.2021.9445142"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.2307\/1912791.1969"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.1987.325918"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2011.2109712"},{"key":"ref6","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2021.104515","article-title":"Effective connectivity in brain networks estimated using EEG signals is altered in children with ADHD","volume":"134","author":"Abbas","year":"2021","journal-title":"Comput. Biol. Med."},{"key":"ref7","first-page":"122","article-title":"Least squares and discounted least squares in autoregressive process","volume":"2","author":"Jantana","year":"2002","journal-title":"Silpakorn Univ. Open J. Syst."},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1049\/ep.1987.0120"},{"volume-title":"Modern Spectral Estimation: Theory and Application","year":"1988","author":"Kay","key":"ref9"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2016.2600023"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1996.tb02080.x"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1098\/rstb.2005.1654"},{"key":"ref13","first-page":"97","article-title":"Sparse causal discovery in multivariate time series","volume-title":"Proc. Workshop Causality, Objectives Assessment","author":"Haufe","year":"2010"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btp199"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6638248"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btq377"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2022.02.005"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2015.2481482"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3390\/e22070732"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2560\/10\/4\/046006"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.7717\/peerj-cs.429"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.1974.1100705"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176344136"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/asn034"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2011.2129515"},{"key":"ref26","article-title":"Robust low-rank tensor approximations using group sparsity","volume-title":"Ph.D. dissertation","author":"Han","year":"2019"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO.2017.8081291"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1561\/2200000016"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10317"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2012.2187179"},{"key":"ref31","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1016\/S0169-7161(83)03013-8","article-title":"Autoregressive spectral estimation","volume-title":"Time Series in the Frequency Domain","volume":"3","author":"Parzen","year":"1983"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.495"},{"issue":"3","key":"ref33","first-page":"127","article-title":"Foundations and trends in optimization","volume":"1","author":"Parikh","year":"2014","journal-title":"Proximal Algorithms"},{"key":"ref34","first-page":"68","article-title":"The yule walker equations for the AR coefficients","volume":"2","author":"Eshel","year":"2003","journal-title":"Internet Resource"},{"key":"ref35","first-page":"42","article-title":"A new analysis technique for time series data","volume-title":"Proc. Adv. Study Inst. Signal Process.","author":"Burg","year":"1968"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3368637"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2022.119057"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2360133"}],"container-title":["IEEE Signal Processing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/97\/10380231\/10590718.pdf?arnumber=10590718","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,10]],"date-time":"2024-08-10T05:06:40Z","timestamp":1723266400000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10590718\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":38,"URL":"https:\/\/doi.org\/10.1109\/lsp.2024.3418712","relation":{},"ISSN":["1070-9908","1558-2361"],"issn-type":[{"type":"print","value":"1070-9908"},{"type":"electronic","value":"1558-2361"}],"subject":[],"published":{"date-parts":[[2024]]}}}