{"id":"https://openalex.org/W2008811315","doi":"https://doi.org/10.1109/ita.2013.6502959","title":"Inferring causality in networks of WSS processes by pairwise estimation methods","display_name":"Inferring causality in networks of WSS processes by pairwise estimation methods","publication_year":2013,"publication_date":"2013-02-01","ids":{"openalex":"https://openalex.org/W2008811315","doi":"https://doi.org/10.1109/ita.2013.6502959","mag":"2008811315"},"language":"en","primary_location":{"id":"doi:10.1109/ita.2013.6502959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ita.2013.6502959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Information Theory and Applications Workshop (ITA)","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/A5043029595","display_name":"Syamantak Datta Gupta","orcid":null},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Syamantak Datta Gupta","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ONT, Canada","[Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada.]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ONT, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"[Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada.]","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061577384","display_name":"Ravi R. Mazumdar","orcid":"https://orcid.org/0000-0002-0968-0925"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"R. R. Mazumdar","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ONT, Canada","[Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada.]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ONT, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"[Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada.]","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5043029595"],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":0.1497,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.5612347,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9909999966621399,"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"}},"topics":[{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9909999966621399,"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"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9524000287055969,"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/T10581","display_name":"Neural dynamics and brain function","score":0.946399986743927,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.780238151550293},{"id":"https://openalex.org/keywords/causality","display_name":"Causality (physics)","score":0.7564008235931396},{"id":"https://openalex.org/keywords/granger-causality","display_name":"Granger causality","score":0.6911949515342712},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6143583059310913},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5912308096885681},{"id":"https://openalex.org/keywords/interdependence","display_name":"Interdependence","score":0.5820038914680481},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.56020188331604},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.529649019241333},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.4819340705871582},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4784400761127472},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4713059365749359},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4394104480743408},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3293966054916382},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2981761693954468},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.28919854760169983},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2456718385219574},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11640217900276184}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.780238151550293},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.7564008235931396},{"id":"https://openalex.org/C129824826","wikidata":"https://www.wikidata.org/wiki/Q2630107","display_name":"Granger causality","level":2,"score":0.6911949515342712},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6143583059310913},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5912308096885681},{"id":"https://openalex.org/C185874996","wikidata":"https://www.wikidata.org/wiki/Q269699","display_name":"Interdependence","level":2,"score":0.5820038914680481},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.56020188331604},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.529649019241333},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.4819340705871582},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4784400761127472},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4713059365749359},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4394104480743408},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3293966054916382},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2981761693954468},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28919854760169983},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2456718385219574},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11640217900276184},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ita.2013.6502959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ita.2013.6502959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Information Theory and Applications Workshop (ITA)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.306.3729","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.306.3729","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ita.ucsd.edu/workshop/13/files/paper/paper_1084.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1543037062","https://openalex.org/W1603444016","https://openalex.org/W1607114662","https://openalex.org/W1742030380","https://openalex.org/W1980934101","https://openalex.org/W2001667451","https://openalex.org/W2022704310","https://openalex.org/W2041782669","https://openalex.org/W2056442977","https://openalex.org/W2067348345","https://openalex.org/W2070722739","https://openalex.org/W2081647150","https://openalex.org/W2082484220","https://openalex.org/W2099111195","https://openalex.org/W2101567517","https://openalex.org/W2140911775","https://openalex.org/W2143428876","https://openalex.org/W2148606196","https://openalex.org/W2156939381","https://openalex.org/W2164727176","https://openalex.org/W2168614460","https://openalex.org/W2170452707","https://openalex.org/W2171853113","https://openalex.org/W2177027786","https://openalex.org/W2178225550","https://openalex.org/W2478708596","https://openalex.org/W2953060472","https://openalex.org/W3105581519","https://openalex.org/W3123110981","https://openalex.org/W4248079659","https://openalex.org/W4294566064","https://openalex.org/W6681130209"],"related_works":["https://openalex.org/W2487162673","https://openalex.org/W2942366970","https://openalex.org/W2793211469","https://openalex.org/W2949152769","https://openalex.org/W2035792466","https://openalex.org/W2977645287","https://openalex.org/W4251418261","https://openalex.org/W1972675643","https://openalex.org/W2911392473","https://openalex.org/W2154758532"],"abstract_inverted_index":{"Inferring":[0],"causal":[1,87,150],"dependences":[2],"in":[3,19,24,66,80,90],"a":[4,10,16,25,40,68,99,119,165],"family":[5],"of":[6,13,28,42,63,75,98,109,132,144,164],"dynamic":[7,107],"systems":[8],"from":[9,31],"finite":[11],"set":[12,41],"observations":[14],"is":[15,47,53,71,153],"problem":[17,143],"encountered":[18],"many":[20],"applications":[21],"that":[22,155],"arise":[23],"diverse":[26],"variety":[27],"fields;":[29],"ranging":[30],"economics":[32],"and":[33,37,58,85,140,172],"finance":[34],"to":[35,48,59,83,92],"climatology":[36],"neuroscience.":[38],"Given":[39],"random":[43],"processes,":[44],"the":[45,56,61,94,106,111,142],"objective":[46],"determine":[49],"whether":[50],"one":[51,102],"process":[52],"influenced":[54],"by":[55,147],"others":[57],"investigate":[60,141],"nature":[62],"this":[64,81,125],"influence":[65],"case":[67],"dependence":[69],"relation":[70],"identified.":[72],"The":[73],"notion":[74],"Granger-causality":[76,146],"may":[77,159],"be":[78],"used":[79],"context":[82],"measure":[84],"quantify":[86],"structures.":[88],"Ideally,":[89],"order":[91],"infer":[93],"complete":[95],"interdependence":[96],"structure":[97],"complex":[100],"system,":[101,166],"should":[103],"simultaneously":[104],"consider":[105,128],"behaviour":[108],"all":[110,162],"processes":[112,139],"involved.":[113],"However,":[114],"for":[115],"large":[116],"networks,":[117],"such":[118,157],"method":[120],"becomes":[121],"exceedingly":[122],"complicated.":[123],"In":[124],"paper,":[126],"we":[127],"an":[129],"interdependent":[130],"group":[131],"jointly":[133],"wide":[134],"sense":[135],"stationary":[136],"real-valued":[137],"stochastic":[138],"determining":[145],"identifying":[148],"pairwise":[149],"relations.":[151],"It":[152],"seen":[154],"while":[156],"methods":[158],"not":[160],"reveal":[161],"details":[163],"they":[167],"can":[168],"nonetheless":[169],"provide":[170],"useful":[171],"reasonably":[173],"accurate":[174],"information.":[175]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
