{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T08:10:25Z","timestamp":1773821425517,"version":"3.50.1"},"reference-count":38,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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 Trans. Signal Process."],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/tsp.2021.3114997","type":"journal-article","created":{"date-parts":[[2021,10,2]],"date-time":"2021-10-02T01:13:27Z","timestamp":1633137207000},"page":"5638-5650","source":"Crossref","is-referenced-by-count":12,"title":["Dimension Reduction of Polynomial Regression Models for the Estimation of Granger Causality in High-Dimensional Time Series"],"prefix":"10.1109","volume":"69","author":[{"given":"Elsa","family":"Siggiridou","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5337-5688","authenticated-orcid":false,"given":"Dimitris","family":"Kugiumtzis","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1088\/1367-2630\/16\/10\/105003"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2009.10.003"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065715500069"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1152\/ajpheart.1987.253.3.H680"},{"key":"ref30","first-page":"105130","author":"rigney","year":"1993","journal-title":"Time Series Prediction Forecasting the Future and Understanding the Past"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0089463"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1142\/S012906571850051X"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1177\/1073858411422754"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1063\/1.4963175"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1984.10477110"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2008.04.011"},{"key":"ref12","first-page":"3073","article-title":"Stationary-sparse causality network learning","volume":"14","author":"he","year":"2013","journal-title":"J Mach Learn Res"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/4518429"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2018.2887401"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1002\/for.2265"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2015.2500893"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.77.036217"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1080\/135048599353807"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2011.2165952"},{"key":"ref28","doi-asserted-by":"crossref","first-page":"2137","DOI":"10.1016\/j.sigpro.2005.07.011","article-title":"Comparison of linear signal processing techniques to infer directed interactions in multivariate neural systems","volume":"85","author":"winterhalder","year":"2005","journal-title":"” Signal Process"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfineco.2011.12.010"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.103.238701"},{"key":"ref3","author":"h","year":"2005","journal-title":"New Introduction to Multiple Time Series Analysis"},{"key":"ref6","author":"fornito","year":"2016","journal-title":"Fundamentals of brain network analysis"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1126\/sciadv.aau4996"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2015.2476824"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1017\/9781316275757"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3390\/e15062023"},{"key":"ref2","first-page":"424","article-title":"Investigating causal relations by econometric models and cross-spectral methods","volume":"37","author":"granger","year":"1969","journal-title":"Acta Physica Polonica B"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/e21111080"},{"key":"ref1","first-page":"165","article-title":"The theory of prediction","author":"wiener","year":"1956","journal-title":"Modern Mathematics for Engineers"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.85.461"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.87.062918"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1142\/S0218127412502227"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.2307\/1392185"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1214\/15-AOS1315"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1186\/s12864-019-6413-7"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511921803"}],"container-title":["IEEE Transactions on Signal Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/78\/9307529\/09556562.pdf?arnumber=9556562","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:50:38Z","timestamp":1652194238000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9556562\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":38,"URL":"https:\/\/doi.org\/10.1109\/tsp.2021.3114997","relation":{},"ISSN":["1053-587X","1941-0476"],"issn-type":[{"value":"1053-587X","type":"print"},{"value":"1941-0476","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}