{"id":"https://openalex.org/W1517868603","doi":"https://doi.org/10.1109/icaci.2015.7184744","title":"Blockwise Granger causality and blockwise new causality","display_name":"Blockwise Granger causality and blockwise new causality","publication_year":2015,"publication_date":"2015-03-01","ids":{"openalex":"https://openalex.org/W1517868603","doi":"https://doi.org/10.1109/icaci.2015.7184744","mag":"1517868603"},"language":"en","primary_location":{"id":"doi:10.1109/icaci.2015.7184744","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaci.2015.7184744","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Seventh International Conference on Advanced Computational Intelligence (ICACI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5061174066","display_name":"Xinxin Jia","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinxin Jia","raw_affiliation_strings":["College of Computer Science, Hangzhou Dianzi University, Hangzhou, China","College of Computer Science, Hangzhou Dianzi University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"College of Computer Science, Hangzhou Dianzi University, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107346944","display_name":"Sanqing Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sanqing Hu","raw_affiliation_strings":["College of Computer Science, Hangzhou Dianzi University, Hangzhou, China","College of Computer Science, Hangzhou Dianzi University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"College of Computer Science, Hangzhou Dianzi University, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100618162","display_name":"Jianhai Zhang","orcid":"https://orcid.org/0000-0003-1727-7463"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhai Zhang","raw_affiliation_strings":["College of Computer Science, Hangzhou Dianzi University, Hangzhou, China","College of Computer Science, Hangzhou Dianzi University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"College of Computer Science, Hangzhou Dianzi University, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003649465","display_name":"Wanzeng Kong","orcid":"https://orcid.org/0000-0002-0113-6968"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanzeng Kong","raw_affiliation_strings":["College of Computer Science, Hangzhou Dianzi University, Hangzhou, China","College of Computer Science, Hangzhou Dianzi University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"College of Computer Science, Hangzhou Dianzi University, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"421","last_page":"425"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9883999824523926,"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/causality","display_name":"Causality (physics)","score":0.8225531578063965},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.8010542392730713},{"id":"https://openalex.org/keywords/granger-causality","display_name":"Granger causality","score":0.7336623072624207},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5233929753303528},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.45412105321884155},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.4387781620025635},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4119041860103607},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37849071621894836},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3723469376564026},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16499364376068115},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1188201904296875}],"concepts":[{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.8225531578063965},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.8010542392730713},{"id":"https://openalex.org/C129824826","wikidata":"https://www.wikidata.org/wiki/Q2630107","display_name":"Granger causality","level":2,"score":0.7336623072624207},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5233929753303528},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.45412105321884155},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.4387781620025635},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4119041860103607},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37849071621894836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3723469376564026},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16499364376068115},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1188201904296875},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaci.2015.7184744","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaci.2015.7184744","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Seventh International Conference on Advanced Computational Intelligence (ICACI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1636081627","https://openalex.org/W1982113426","https://openalex.org/W2016539907","https://openalex.org/W2036583039","https://openalex.org/W2041141830","https://openalex.org/W2041489975","https://openalex.org/W2058473196","https://openalex.org/W2101567517","https://openalex.org/W2112709449","https://openalex.org/W2129918244","https://openalex.org/W2143891888","https://openalex.org/W4302423442"],"related_works":["https://openalex.org/W126301054","https://openalex.org/W4251195004","https://openalex.org/W4242807451","https://openalex.org/W2035792466","https://openalex.org/W2977645287","https://openalex.org/W4251418261","https://openalex.org/W2118326920","https://openalex.org/W1972675643","https://openalex.org/W2056895937","https://openalex.org/W2154758532"],"abstract_inverted_index":{"Multivariate":[0],"blockwise":[1,28,117],"Granger":[2],"causality":[3,53,108,119,156,168],"(BGC)":[4],"is":[5,24,184,196],"used":[6,25],"to":[7,26,58,94,198],"reflect":[8],"causal":[9,29],"interactions":[10],"among":[11,31],"blocks":[12],"of":[13,61,72,79,161],"multivariate":[14,74,107,112],"time":[15,47,100],"series.":[16],"Especially,":[17],"spectral":[18,22,80,84,122,175,193],"BGC":[19,23,45,81,85,139,162,194],"and":[20,69,82,101,121,136,157,163,180],"conditional":[21,83,141],"disclose":[27,51],"flow":[30,169],"different":[32],"brain":[33],"areas":[34],"in":[35,46,99,170],"variant":[36],"frequencies.":[37],"In":[38],"this":[39],"paper,":[40],"we":[41,128,151],"demonstrate":[42,158],"that":[43,130,159],"(i)":[44],"domain":[48],"may":[49,91],"not":[50],"true":[52],"at":[54],"all.":[55],"(ii)":[56],"Due":[57],"the":[59,62,73,111,174],"use":[60],"transfer":[63],"function":[64],"or":[65,140],"its":[66],"inverse":[67],"matrix":[68],"partial":[70],"information":[71],"linear":[75,113],"regression":[76,114],"model,":[77,115],"both":[78,160],"have":[86],"shortcomings":[87],"and/or":[88],"limitations":[89],"which":[90,183],"inevitably":[92],"lead":[93],"misinterpretation":[95],"results.":[96,201],"We":[97],"then":[98],"frequency":[102,171],"domains":[103],"develop":[104],"two":[105],"new":[106,118],"methods":[109,165],"for":[110,144],"called":[116],"(BNC)":[120],"BNC":[123,131,164,176],"respectively.":[124],"By":[125],"several":[126],"examples":[127],"confirm":[129],"measures":[132],"are":[133],"more":[134],"reasonable":[135],"understandable":[137],"than":[138],"BGC.":[142],"Finally,":[143],"EEG":[145],"data":[146],"from":[147],"an":[148],"epilepsy":[149],"patient":[150],"analyze":[152],"event-related":[153,187],"potential":[154],"(ERP)":[155],"show":[166],"significant":[167],"domain,":[172],"but":[173],"method":[177,195],"yields":[178],"satisfactory":[179],"convincing":[181],"result":[182],"consistent":[185],"with":[186],"time-frequency":[188],"power":[189],"spectrum":[190],"activity.":[191],"The":[192],"shown":[197],"generate":[199],"misleading":[200]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}