{"id":"https://openalex.org/W2290080089","doi":null,"title":"Detecting and tracking time-varying causality with applications to EEG data","display_name":"Detecting and tracking time-varying causality with applications to EEG data","publication_year":2011,"publication_date":"2011-10-01","ids":{"openalex":"https://openalex.org/W2290080089","mag":"2290080089"},"language":"en","primary_location":{"id":"pmh:oai:eprints.whiterose.ac.uk:74675","doi":null,"is_oa":true,"landing_page_url":"http://eprints.whiterose.ac.uk/74675/1/1027.pdf","pdf_url":"http://eprints.whiterose.ac.uk/74675/1/1027.pdf","source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Monograph"},"volume":null,"type":"book","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://eprints.whiterose.ac.uk/74675/1/1027.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000991048","display_name":"Yi Chen Zhao","orcid":"https://orcid.org/0000-0001-6046-8420","observed_orcids":["https://orcid.org/0000-0001-6046-8420"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yi Zhao","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-6046-8420","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108662422","display_name":"Steve A. Billings","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S.A. Billings","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047945875","display_name":"Huilin Wei","orcid":"https://orcid.org/0000-0002-2312-9566","observed_orcids":["https://orcid.org/0000-0002-2312-9566"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huilin Wei","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-2312-9566","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5068261023","display_name":"Ptolemaios Georgios Sarrigiannis","orcid":"https://orcid.org/0000-0002-8380-8755","observed_orcids":["https://orcid.org/0000-0002-8380-8755"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ptolemaios G. Sarrigiannis","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-8380-8755","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.25200000405311584,"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"}},"topics":[{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.25200000405311584,"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/T11236","display_name":"Control Systems and Identification","score":0.16050000488758087,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T13487","display_name":"Statistical and numerical algorithms","score":0.055799998342990875,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/time-varying-causality","display_name":"time-varying causality","score":0.9520000219345093},{"id":"https://openalex.org/keywords/eeg-signals","display_name":"EEG signals","score":0.6110000014305115},{"id":"https://openalex.org/keywords/granger-causality","display_name":"Granger causality","score":0.8140000104904175},{"id":"https://openalex.org/keywords/nonlinear-causality","display_name":"nonlinear causality","score":0.8510000109672546},{"id":"https://openalex.org/keywords/time-shift-estimation","display_name":"time shift estimation","score":0.5839999914169312},{"id":"https://openalex.org/keywords/epileptic-seizures","display_name":"epileptic seizures","score":0.7519999742507935},{"id":"https://openalex.org/keywords/directed-information-flow","display_name":"directed information flow","score":0.7879999876022339},{"id":"https://openalex.org/keywords/brain-activity","display_name":"brain activity","score":0.7059999704360962}],"concepts":[{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.7514290809631348},{"id":"https://openalex.org/C129824826","wikidata":"https://www.wikidata.org/wiki/Q2630107","display_name":"Granger causality","level":2,"score":0.6790252923965454},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5665682554244995},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4586605429649353},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4117879867553711},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4108853340148926},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3966684937477112},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38797834515571594},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3301748037338257},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31479206681251526},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23182052373886108},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.13985803723335266},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:eprints.whiterose.ac.uk:74675","doi":null,"is_oa":true,"landing_page_url":"http://eprints.whiterose.ac.uk/74675/1/1027.pdf","pdf_url":"http://eprints.whiterose.ac.uk/74675/1/1027.pdf","source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Monograph"},{"id":"mag:2290080089","doi":null,"is_oa":false,"landing_page_url":"https://eprints.whiterose.ac.uk/74675/","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:eprints.whiterose.ac.uk:74675","doi":null,"is_oa":true,"landing_page_url":"http://eprints.whiterose.ac.uk/74675/1/1027.pdf","pdf_url":"http://eprints.whiterose.ac.uk/74675/1/1027.pdf","source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Monograph"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2290080089.pdf","grobid_xml":"https://content.openalex.org/works/W2290080089.grobid-xml"},"referenced_works_count":6,"referenced_works":["https://openalex.org/W2019002733","https://openalex.org/W2053773581","https://openalex.org/W2089361438","https://openalex.org/W2136562407","https://openalex.org/W2164534204","https://openalex.org/W2178225550"],"related_works":["https://openalex.org/W2316029405","https://openalex.org/W2071106906","https://openalex.org/W2081957735","https://openalex.org/W2086938080","https://openalex.org/W2089361438","https://openalex.org/W2790313085","https://openalex.org/W2153680353","https://openalex.org/W2322017115","https://openalex.org/W1989115580","https://openalex.org/W2045419960"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,29],"novel":[4],"method":[5,111],"called":[6],"the":[7,41,48,58,85,91,106,109,125,128,152],"ERR-Causality,":[8],"or":[9],"Error":[10],"Reduction":[11],"Ratio":[12],"Causality":[13],"test,":[14],"that":[15,53,78],"can":[16,82,138],"be":[17,139],"used":[18],"to":[19,40,124],"detect":[20,57,83],"and":[21,89],"track":[22],"causal":[23,113],"relationships":[24],"\\nbetween":[25],"two":[26,67,97,117],"signals":[27,68,132],"using":[28],"new":[30,49,110],"adaptive":[31],"forward":[32],"\\northogonal":[33],"least":[34],"squares":[35],"(Adaptive-Forward-OLS)":[36],"algorithm.":[37],"\\nIn":[38],"comparison":[39],"traditional":[42],"Granger":[43],"method,":[44],"\\none":[45],"advantage":[46,76],"of":[47,61,87,108,127],"ERR-Causality":[50,80],"test":[51,81],"is":[52,77,159],"it":[54],"\\ncan":[55],"effectively":[56],"time-varying":[59],"direction":[60,86],"linear":[62],"\\nor":[63],"nonlinear":[64],"causality":[65,129],"between":[66,95,116],"without":[69],"fitting":[70],"\\na":[71],"complete":[72],"model.":[73],"Another":[74],"important":[75,120],"\\nthe":[79,96],"both":[84],"\\ninteractions":[88],"estimate":[90],"relative":[92],"time":[93,154],"shift":[94],"signals.":[98,118],"Several":[99],"numerical":[100],"examples":[101],"are":[102],"provided":[103],"\\nto":[104],"illustrate":[105],"effectiveness":[107],"for":[112,142],"\\nrelationship":[114],"detection":[115],"An":[119],"\\nreal":[121],"application,":[122],"relating":[123],"analysis":[126],"\\nof":[130],"EEG":[131],"from":[133],"different":[134],"cortical":[135],"sites":[136],"which":[137],"\\nvery":[140],"useful":[141],"understanding":[143],"brain":[144],"activity":[145],"during":[146],"an":[147],"\\nepileptic":[148],"seizure":[149],"by":[150],"inspecting":[151],"high-resolution":[153],"varying":[155],"directed":[156],"information":[157],"flow,":[158],"also":[160],"discussed.":[161]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-09-22T06:50:58.402377","created_date":"2016-06-24T00:00:00"}