{"id":"https://openalex.org/W2736071467","doi":"https://doi.org/10.1109/ijcnn.2017.7965879","title":"First-order causal process for causal modelling with instantaneous and cross-temporal relations","display_name":"First-order causal process for causal modelling with instantaneous and cross-temporal relations","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2736071467","doi":"https://doi.org/10.1109/ijcnn.2017.7965879","mag":"2736071467"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2017.7965879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7965879","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","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/A5038755082","display_name":"Fujin Zhu","orcid":"https://orcid.org/0000-0001-8089-4769"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]},{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["AU","CN"],"is_corresponding":false,"raw_author_name":"Fujin Zhu","raw_affiliation_strings":["Centre for Artificial Intelligence, University of Technology, Sydney, NSW, Australia","School of Management and Economics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence, University of Technology, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"School of Management and Economics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062192039","display_name":"Guangquan Zhang","orcid":"https://orcid.org/0000-0003-3960-0583"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Guangquan Zhang","raw_affiliation_strings":["Centre for Artificial Intelligence, University of Technology, Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence, University of Technology, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100675577","display_name":"Jie L\u00fc","orcid":"https://orcid.org/0000-0003-0690-4732"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jie Lu","raw_affiliation_strings":["Centre for Artificial Intelligence, University of Technology, Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence, University of Technology, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102015229","display_name":"Donghua Zhu","orcid":"https://orcid.org/0000-0002-7712-4867"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Donghua Zhu","raw_affiliation_strings":["School of Management and Economics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management and Economics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4131,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.71834049,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"11","issue":null,"first_page":"380","last_page":"387"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9686999917030334,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9541000127792358,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/causal-structure","display_name":"Causal structure","score":0.7209952473640442},{"id":"https://openalex.org/keywords/causal-model","display_name":"Causal model","score":0.7071887254714966},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.6990785002708435},{"id":"https://openalex.org/keywords/causality","display_name":"Causality (physics)","score":0.6565653681755066},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6270080208778381},{"id":"https://openalex.org/keywords/conditional-independence","display_name":"Conditional independence","score":0.6270068883895874},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.5694958567619324},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5205239057540894},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5053473114967346},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.4551844298839569},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45271173119544983},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.374478816986084},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35682302713394165},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26960140466690063},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08655586838722229}],"concepts":[{"id":"https://openalex.org/C163504300","wikidata":"https://www.wikidata.org/wiki/Q2364925","display_name":"Causal structure","level":2,"score":0.7209952473640442},{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.7071887254714966},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6990785002708435},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.6565653681755066},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6270080208778381},{"id":"https://openalex.org/C79772020","wikidata":"https://www.wikidata.org/wiki/Q5159264","display_name":"Conditional independence","level":2,"score":0.6270068883895874},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.5694958567619324},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5205239057540894},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5053473114967346},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.4551844298839569},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45271173119544983},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.374478816986084},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35682302713394165},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26960140466690063},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08655586838722229},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2017.7965879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7965879","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/125473","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/125473","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"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 Proceeding"}],"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/W13176313","https://openalex.org/W201532924","https://openalex.org/W1503398984","https://openalex.org/W1551216491","https://openalex.org/W1606939377","https://openalex.org/W2003391405","https://openalex.org/W2004146932","https://openalex.org/W2031159303","https://openalex.org/W2118972902","https://openalex.org/W2154195147","https://openalex.org/W2171267203","https://openalex.org/W2178225550","https://openalex.org/W2405267683","https://openalex.org/W2486285194","https://openalex.org/W2952627057","https://openalex.org/W3026030561","https://openalex.org/W3125343023","https://openalex.org/W4246001022","https://openalex.org/W4299515571","https://openalex.org/W4301444986","https://openalex.org/W4302423442","https://openalex.org/W6600553199","https://openalex.org/W6608164685","https://openalex.org/W6633114004","https://openalex.org/W6677556709","https://openalex.org/W6684800183","https://openalex.org/W6713727218"],"related_works":["https://openalex.org/W1611624937","https://openalex.org/W2072483141","https://openalex.org/W2018580387","https://openalex.org/W2093587551","https://openalex.org/W4288101976","https://openalex.org/W2975391434","https://openalex.org/W3091100779","https://openalex.org/W3131488744","https://openalex.org/W4221142930","https://openalex.org/W2239618487"],"abstract_inverted_index":{"Motivated":[0],"by":[1],"the":[2,21,44,50,56,84,91,107,124,127],"real":[3,74,121],"damped":[4],"simple":[5,131],"harmonic":[6],"oscillator":[7],"(SHO)":[8],"system,":[9],"in":[10,72],"this":[11],"paper,":[12],"we":[13],"propose":[14],"a":[15,60,100,111],"process":[16,24],"interpretation":[17],"of":[18,90,126,136],"causality":[19],"and":[20,49,67,96,120],"first-order":[22],"causal":[23,29,34,69,85,108,134],"(FoCP)":[25],"model":[26,40,47,58,93],"for":[27,65,105],"temporal":[28],"modelling.":[30],"Compared":[31],"with":[32],"existing":[33,71],"models":[35],"that":[36],"are":[37,80,94],"able":[38],"to":[39,82,98,129],"feedbacks,":[41],"such":[42],"as":[43],"structural":[45],"equation":[46],"(SEM)":[48],"structure":[51,86,109],"vector":[52],"autoregressive":[53],"(SVAR)":[54],"model,":[55],"FoCP":[57],"entails":[59],"novel":[61],"2-stage":[62],"evolution":[63],"semantic":[64],"instantaneous":[66],"cross-temporal":[68],"relations":[70],"many":[73],"world":[75],"dynamic":[76,137],"systems.":[77,138],"Graphical":[78],"representations":[79],"developed":[81],"illustrate":[83],"compactly.":[87],"Useful":[88],"properties":[89],"new":[92],"identified":[95],"used":[97],"develop":[99],"conditional":[101],"independence":[102],"based":[103],"algorithm":[104],"learning":[106],"from":[110],"multivariate":[112],"time":[113],"series":[114],"dataset.":[115],"Experiments":[116],"on":[117],"both":[118],"simulated":[119],"data":[122],"validate":[123],"feasibility":[125],"method":[128],"discover":[130],"while":[132],"meaningful":[133],"structures":[135]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}