{"id":"https://openalex.org/W2792192523","doi":"https://doi.org/10.1109/camsap.2017.8313211","title":"Online topology estimation for vector autoregressive processes in data networks","display_name":"Online topology estimation for vector autoregressive processes in data networks","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2792192523","doi":"https://doi.org/10.1109/camsap.2017.8313211","mag":"2792192523"},"language":"en","primary_location":{"id":"doi:10.1109/camsap.2017.8313211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camsap.2017.8313211","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","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/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":true,"raw_author_name":"Bakht Zaman","raw_affiliation_strings":["Department of ICT, University of Agder, Grimstad, Norway"],"affiliations":[{"raw_affiliation_string":"Department of ICT, University of Agder, Grimstad, Norway","institution_ids":["https://openalex.org/I200650556"]}]},{"author_position":"middle","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":["Department of ICT, University of Agder, Grimstad, Norway"],"affiliations":[{"raw_affiliation_string":"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":["Department of ICT, University of Agder, Grimstad, Norway"],"affiliations":[{"raw_affiliation_string":"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":["Department of ICT, University of Agder, Grimstad, Norway"],"affiliations":[{"raw_affiliation_string":"Department of ICT, University of Agder, Grimstad, Norway","institution_ids":["https://openalex.org/I200650556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5069520836"],"corresponding_institution_ids":["https://openalex.org/I200650556"],"apc_list":null,"apc_paid":null,"fwci":1.4406,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.80942612,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"11","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9786999821662903,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.7907732725143433},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7157562375068665},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6594359874725342},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.6387937068939209},{"id":"https://openalex.org/keywords/causality","display_name":"Causality (physics)","score":0.5391907691955566},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4868447184562683},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.47535890340805054},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.44367364048957825},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4257551431655884},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.41678690910339355},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39453715085983276},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34347355365753174},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.31271815299987793},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3089115023612976},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2284233272075653},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.09488606452941895},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09109959006309509}],"concepts":[{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.7907732725143433},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7157562375068665},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6594359874725342},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.6387937068939209},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.5391907691955566},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4868447184562683},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.47535890340805054},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.44367364048957825},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4257551431655884},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.41678690910339355},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39453715085983276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34347355365753174},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31271815299987793},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3089115023612976},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2284233272075653},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.09488606452941895},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09109959006309509},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/camsap.2017.8313211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camsap.2017.8313211","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","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":27,"referenced_works":["https://openalex.org/W25321933","https://openalex.org/W179182636","https://openalex.org/W1663973292","https://openalex.org/W1684305122","https://openalex.org/W1966691067","https://openalex.org/W2068000292","https://openalex.org/W2111349941","https://openalex.org/W2112856361","https://openalex.org/W2115671189","https://openalex.org/W2117575248","https://openalex.org/W2122845919","https://openalex.org/W2136271315","https://openalex.org/W2143428876","https://openalex.org/W2166106181","https://openalex.org/W2169581455","https://openalex.org/W2343215024","https://openalex.org/W2486096428","https://openalex.org/W2545344914","https://openalex.org/W2594639291","https://openalex.org/W2947626232","https://openalex.org/W2952309330","https://openalex.org/W3000219431","https://openalex.org/W6601023912","https://openalex.org/W6607241150","https://openalex.org/W6628742764","https://openalex.org/W6629510986","https://openalex.org/W6676884259"],"related_works":["https://openalex.org/W2171218219","https://openalex.org/W1972271943","https://openalex.org/W2150410159","https://openalex.org/W3150905897","https://openalex.org/W4327525404","https://openalex.org/W4287185323","https://openalex.org/W2349019353","https://openalex.org/W2154965898","https://openalex.org/W4288388567","https://openalex.org/W4385335406"],"abstract_inverted_index":{"An":[0],"important":[1],"problem":[2],"in":[3,100,114],"data":[4,62],"sciences":[5],"pertains":[6],"to":[7,34,73],"inferring":[8],"causal":[9],"interactions":[10],"among":[11],"a":[12,21,52],"collection":[13],"of":[14,45,102,110],"time":[15],"series.":[16],"Upon":[17],"modeling":[18],"these":[19],"as":[20],"vector":[22],"autoregressive":[23],"(VAR)":[24],"process,":[25],"this":[26],"paper":[27],"deals":[28],"with":[29,58],"estimating":[30],"the":[31,36,42,48,75,89,108,111],"model":[32],"parameters":[33],"identify":[35],"underlying":[37],"causality":[38,46],"graph.":[39],"To":[40,56],"exploit":[41],"sparse":[43,76],"connectivity":[44],"graphs,":[47],"proposed":[49,84,112],"estimators":[50],"minimize":[51],"group-Lasso":[53],"regularized":[54],"functional.":[55],"cope":[57],"real-time":[59],"applications,":[60],"big":[61],"setups,":[63],"and":[64,96,117],"possibly":[65],"time-varying":[66],"topologies,":[67],"two":[68],"online":[69],"algorithms":[70,85],"are":[71,80,86],"presented":[72],"recover":[74],"coefficients":[77],"when":[78],"observations":[79],"received":[81],"sequentially.":[82],"The":[83],"inspired":[87],"by":[88],"classic":[90],"recursive":[91],"least":[92],"squares":[93],"(RLS)":[94],"algorithm":[95],"offer":[97],"complementary":[98],"benefits":[99],"terms":[101],"computational":[103],"efficiency.":[104],"Numerical":[105],"results":[106],"showcase":[107],"merits":[109],"schemes":[113],"both":[115],"estimation":[116],"prediction":[118],"tasks.":[119]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}