{"id":"https://openalex.org/W2809777473","doi":"https://doi.org/10.1109/globalsip.2018.8646607","title":"DYNAMIC NETWORK IDENTIFICATION FROM NON-STATIONARY VECTOR AUTOREGRESSIVE TIME SERIES","display_name":"DYNAMIC NETWORK IDENTIFICATION FROM NON-STATIONARY VECTOR AUTOREGRESSIVE TIME SERIES","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2809777473","doi":"https://doi.org/10.1109/globalsip.2018.8646607","mag":"2809777473"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip.2018.8646607","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2018.8646607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075672443","display_name":"Luis M. L\u00f3pez-Ramos","orcid":"https://orcid.org/0000-0001-8072-3994"},"institutions":[{"id":"https://openalex.org/I200650556","display_name":"University of Agder","ror":"https://ror.org/03x297z98","country_code":"NO","type":"education","lineage":["https://openalex.org/I200650556"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Luis M. Lopez-Ramos","raw_affiliation_strings":["Intelligent Signal Processing and Wireless Networks Laboratory (WISENET) Department of ICT, University of Agder, Grimstad, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Signal Processing and Wireless Networks Laboratory (WISENET) Department of ICT, University of Agder, Grimstad, Norway","institution_ids":["https://openalex.org/I200650556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078157470","display_name":"Daniel Romero","orcid":"https://orcid.org/0000-0002-8498-0207"},"institutions":[{"id":"https://openalex.org/I200650556","display_name":"University of Agder","ror":"https://ror.org/03x297z98","country_code":"NO","type":"education","lineage":["https://openalex.org/I200650556"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Daniel Romero","raw_affiliation_strings":["Intelligent Signal Processing and Wireless Networks Laboratory (WISENET) Department of ICT, University of Agder, Grimstad, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Signal Processing and Wireless Networks Laboratory (WISENET) Department of ICT, University of Agder, Grimstad, Norway","institution_ids":["https://openalex.org/I200650556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069520836","display_name":"Bakht Zaman","orcid":"https://orcid.org/0000-0003-0191-4907"},"institutions":[{"id":"https://openalex.org/I200650556","display_name":"University of Agder","ror":"https://ror.org/03x297z98","country_code":"NO","type":"education","lineage":["https://openalex.org/I200650556"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Bakht Zaman","raw_affiliation_strings":["Intelligent Signal Processing and Wireless Networks Laboratory (WISENET) Department of ICT, University of Agder, Grimstad, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Signal Processing and Wireless Networks Laboratory (WISENET) Department of ICT, University of Agder, Grimstad, Norway","institution_ids":["https://openalex.org/I200650556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047173758","display_name":"Baltasar Beferull\u2010Lozano","orcid":"https://orcid.org/0000-0002-0902-6245"},"institutions":[{"id":"https://openalex.org/I200650556","display_name":"University of Agder","ror":"https://ror.org/03x297z98","country_code":"NO","type":"education","lineage":["https://openalex.org/I200650556"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Baltasar Beferull-Lozano","raw_affiliation_strings":["Intelligent Signal Processing and Wireless Networks Laboratory (WISENET) Department of ICT, University of Agder, Grimstad, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Signal Processing and Wireless Networks Laboratory (WISENET) Department of ICT, University of Agder, Grimstad, Norway","institution_ids":["https://openalex.org/I200650556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I200650556"],"apc_list":null,"apc_paid":null,"fwci":0.876,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.77225537,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"773","last_page":"777"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13283","display_name":"Mental Health Research Topics","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13283","display_name":"Mental Health Research Topics","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.975600004196167,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10836","display_name":"Metabolomics and Mass Spectrometry Studies","score":0.9753999710083008,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.7495615482330322},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7090108394622803},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6306524872779846},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5937882661819458},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5728347897529602},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5426673293113708},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.5070509910583496},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4465475082397461},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4445911645889282},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37087157368659973},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36784911155700684},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34620386362075806},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18433204293251038}],"concepts":[{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.7495615482330322},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7090108394622803},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6306524872779846},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5937882661819458},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5728347897529602},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5426673293113708},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.5070509910583496},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4465475082397461},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4445911645889282},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37087157368659973},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36784911155700684},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34620386362075806},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18433204293251038},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globalsip.2018.8646607","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2018.8646607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1669295700","https://openalex.org/W1684305122","https://openalex.org/W1965048988","https://openalex.org/W1991484728","https://openalex.org/W1998244228","https://openalex.org/W2013945756","https://openalex.org/W2029460515","https://openalex.org/W2068000292","https://openalex.org/W2098277968","https://openalex.org/W2109957730","https://openalex.org/W2118237987","https://openalex.org/W2132555912","https://openalex.org/W2143428876","https://openalex.org/W2169581455","https://openalex.org/W2463327569","https://openalex.org/W2486096428","https://openalex.org/W2491391752","https://openalex.org/W2520179645","https://openalex.org/W2537723822","https://openalex.org/W2545344914","https://openalex.org/W2593294478","https://openalex.org/W2610667023","https://openalex.org/W2745248653","https://openalex.org/W2768533067","https://openalex.org/W2792192523","https://openalex.org/W2947626232","https://openalex.org/W3098547022","https://openalex.org/W3098724218","https://openalex.org/W3105334025","https://openalex.org/W4292363360","https://openalex.org/W6677766129","https://openalex.org/W6728595175","https://openalex.org/W6742502912","https://openalex.org/W6746185528"],"related_works":["https://openalex.org/W2171218219","https://openalex.org/W1972271943","https://openalex.org/W2150410159","https://openalex.org/W2186864281","https://openalex.org/W4327525404","https://openalex.org/W4287185323","https://openalex.org/W3150905897","https://openalex.org/W4255427455","https://openalex.org/W1520183331","https://openalex.org/W2349019353"],"abstract_inverted_index":{"Learning":[0],"the":[1,20,36,48,62,78,125],"dynamics":[2,29],"of":[3,10,24,39,65,80,90,95],"complex":[4,28],"systems":[5],"features":[6],"a":[7,74,81,88],"large":[8],"number":[9],"applications":[11],"in":[12,42,120],"data":[13],"science.":[14],"Graph-based":[15],"modeling":[16],"and":[17,57,73],"inference":[18],"underpins":[19],"most":[21],"prominent":[22],"family":[23],"approaches":[25],"to":[26,31,34,76,100],"learn":[27,77],"due":[30],"their":[32],"ability":[33],"capture":[35],"intrinsic":[37],"sparsity":[38],"direct":[40],"interactions":[41],"such":[43],"systems.":[44],"They":[45],"also":[46],"provide":[47],"user":[49],"with":[50,61,108],"interpretable":[51],"graphs":[52],"that":[53,113],"unveil":[54],"behavioral":[55],"patterns":[56],"changes.":[58],"To":[59],"cope":[60],"time-varying":[63,82],"nature":[64],"interactions,":[66],"this":[67],"paper":[68],"develops":[69],"an":[70],"estimation":[71],"criterion":[72],"solver":[75],"parameters":[79],"vector":[83],"autoregressive":[84],"model":[85],"supported":[86],"on":[87],"network":[89],"time":[91],"series.":[92],"The":[93],"notion":[94],"local":[96],"breakpoint":[97],"is":[98],"proposed":[99,126],"accommodate":[101],"changes":[102,114],"at":[103,115],"individual":[104],"edges.":[105],"It":[106],"contrasts":[107],"existing":[109],"works,":[110],"which":[111],"assume":[112],"all":[116],"nodes":[117],"are":[118],"aligned":[119],"time.":[121],"Numerical":[122],"experiments":[123],"validate":[124],"schemes.":[127]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
