{"id":"https://openalex.org/W2142435179","doi":"https://doi.org/10.5591/978-1-57735-516-8/ijcai11-223","title":"Gaussianity measures for detecting the direction of causal time series","display_name":"Gaussianity measures for detecting the direction of causal time series","publication_year":2011,"publication_date":"2011-07-16","ids":{"openalex":"https://openalex.org/W2142435179","doi":"https://doi.org/10.5591/978-1-57735-516-8/ijcai11-223","mag":"2142435179"},"language":"en","primary_location":{"id":"pmh:oai:generic.eprints.org:800683","is_oa":false,"landing_page_url":"http://publications.eng.cam.ac.uk/800683/","pdf_url":null,"source":{"id":"https://openalex.org/S4406922847","display_name":"Cambridge University Engineering Department Publications Database","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},"type":"conference-paper","indexed_in":[],"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/A5102890597","display_name":"Jos\u00e9 Miguel Hern\u00e1ndez-Lobato","orcid":"https://orcid.org/0000-0001-7610-949X"},"institutions":[{"id":"https://openalex.org/I63634437","display_name":"Universidad Aut\u00f3noma de Madrid","ror":"https://ror.org/01cby8j38","country_code":"ES","type":"education","lineage":["https://openalex.org/I63634437"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jos\u00e9 Miguel Hern\u00e1ndez-Lobato","raw_affiliation_strings":["Universidad Aut\u00f3noma de Madrid, Madrid, SPAIN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Aut\u00f3noma de Madrid, Madrid, SPAIN","institution_ids":["https://openalex.org/I63634437"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038338077","display_name":"Pablo Morales-Mombiela","orcid":null},"institutions":[{"id":"https://openalex.org/I63634437","display_name":"Universidad Aut\u00f3noma de Madrid","ror":"https://ror.org/01cby8j38","country_code":"ES","type":"education","lineage":["https://openalex.org/I63634437"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Pablo Morales-Mombiela","raw_affiliation_strings":["Universidad Aut\u00f3noma de Madrid, Madrid, SPAIN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Aut\u00f3noma de Madrid, Madrid, SPAIN","institution_ids":["https://openalex.org/I63634437"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086959491","display_name":"Alberto Su\u00e1rez","orcid":"https://orcid.org/0000-0003-4534-0909"},"institutions":[{"id":"https://openalex.org/I63634437","display_name":"Universidad Aut\u00f3noma de Madrid","ror":"https://ror.org/01cby8j38","country_code":"ES","type":"education","lineage":["https://openalex.org/I63634437"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Alberto Su\u00e1rez","raw_affiliation_strings":["Universidad Aut\u00f3noma de Madrid, Madrid, SPAIN"],"raw_orcid":"https://orcid.org/0000-0003-4534-0909","affiliations":[{"raw_affiliation_string":"Universidad Aut\u00f3noma de Madrid, Madrid, SPAIN","institution_ids":["https://openalex.org/I63634437"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I63634437"],"apc_list":null,"apc_paid":null,"fwci":2.3548,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.87905237,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1318","last_page":"1323"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9979000091552734,"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"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9979000091552734,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9961000084877014,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9918000102043152,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6757975816726685},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.6236349940299988},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.543319046497345},{"id":"https://openalex.org/keywords/cumulant","display_name":"Cumulant","score":0.5317116379737854},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5261667966842651},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4797329008579254},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.47852858901023865},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.462956964969635},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4471985995769501},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.4223596751689911},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.35291820764541626},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.352544367313385},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.31889039278030396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20657828450202942},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.12346050143241882}],"concepts":[{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6757975816726685},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.6236349940299988},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.543319046497345},{"id":"https://openalex.org/C172686274","wikidata":"https://www.wikidata.org/wiki/Q746007","display_name":"Cumulant","level":2,"score":0.5317116379737854},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5261667966842651},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4797329008579254},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.47852858901023865},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.462956964969635},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4471985995769501},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.4223596751689911},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.35291820764541626},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.352544367313385},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.31889039278030396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20657828450202942},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.12346050143241882},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"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/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":2,"locations":[{"id":"pmh:oai:generic.eprints.org:800683","is_oa":false,"landing_page_url":"http://publications.eng.cam.ac.uk/800683/","pdf_url":null,"source":{"id":"https://openalex.org/S4406922847","display_name":"Cambridge University Engineering Department Publications Database","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},{"id":"mag:2142435179","is_oa":false,"landing_page_url":"https://ijcai.org/papers11/Papers/IJCAI11-223.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306419999","display_name":"International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"International Joint Conference on Artificial Intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.8100000023841858,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1482778976","https://openalex.org/W1550193283","https://openalex.org/W1580826879","https://openalex.org/W1595691708","https://openalex.org/W1946137962","https://openalex.org/W2000839378","https://openalex.org/W2098460974","https://openalex.org/W2112552549","https://openalex.org/W2124331852","https://openalex.org/W2125865219","https://openalex.org/W2140971281","https://openalex.org/W2147884875","https://openalex.org/W3103524268"],"related_works":["https://openalex.org/W2112552549","https://openalex.org/W2080909342","https://openalex.org/W2092973826","https://openalex.org/W2078833306","https://openalex.org/W2500384293","https://openalex.org/W72349267","https://openalex.org/W2626733259","https://openalex.org/W2044446331","https://openalex.org/W1595211660","https://openalex.org/W1980159795","https://openalex.org/W2008440106","https://openalex.org/W3177968693","https://openalex.org/W2900338456","https://openalex.org/W2024787133","https://openalex.org/W2955707447","https://openalex.org/W2732186123","https://openalex.org/W2100680952","https://openalex.org/W3200980332","https://openalex.org/W2028140212","https://openalex.org/W2099610690"],"abstract_inverted_index":{"We":[0],"conjecture":[1],"that":[2,43,74],"the":[3,6,20,23,28,31,45,48,51,69,88,92,99,115,119],"distribution":[4,21,49],"of":[5,9,22,47,50,71,107,118],"time-reversed":[7],"residuals":[8,93],"a":[10,17,64,95],"causal":[11,39],"linear":[12,79,96],"process":[13,29],"is":[14,36,60,87],"closer":[15],"to":[16,26,62,98],"Gaussian":[18],"than":[19],"noise":[24,52],"used":[25],"generate":[27],"in":[30,85,90],"forward":[32],"direction.":[33],"This":[34],"property":[35],"demonstrated":[37],"for":[38,67],"AR(1)":[40],"processes":[41],"assuming":[42],"all":[44],"cumulants":[46],"are":[53,102],"defined.":[54],"Based":[55],"on":[56,129],"this":[57],"observation,":[58],"it":[59],"possible":[61],"design":[63],"decision":[65],"rule":[66,121],"detecting":[68],"direction":[70,83],"time":[72,100],"series":[73,101,106],"can":[75],"be":[76],"described":[77],"as":[78],"processes:":[80],"The":[81],"correct":[82],"(forward":[84],"time)":[86],"one":[89],"which":[91],"from":[94],"fit":[97],"less":[103],"Gaussian.":[104],"A":[105],"experiments":[108],"with":[109,124],"simulated":[110],"and":[111],"real-world":[112],"data":[113],"illustrate":[114],"superior":[116],"results":[117],"proposed":[120],"when":[122],"compared":[123],"other":[125],"state-of-the-art":[126],"methods":[127],"based":[128],"independence":[130],"tests.":[131]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
