{"id":"https://openalex.org/W88434430","doi":"https://doi.org/10.5591/978-1-57735-516-8/ijcai11-163","title":"A logic for causal inference in time series with discrete and continuous variables","display_name":"A logic for causal inference in time series with discrete and continuous variables","publication_year":2011,"publication_date":"2011-07-16","ids":{"openalex":"https://openalex.org/W88434430","doi":"https://doi.org/10.5591/978-1-57735-516-8/ijcai11-163","mag":"88434430"},"language":"en","primary_location":{"id":"mag:88434430","is_oa":false,"landing_page_url":"https://www.ijcai.org/papers11/Papers/IJCAI11-163.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":false,"raw_source_name":"International Joint Conference on Artificial Intelligence","raw_type":null},"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/A5048879571","display_name":"Samantha Kleinberg","orcid":"https://orcid.org/0000-0001-6964-3272"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Samantha Kleinberg","raw_affiliation_strings":["Columbia University, New York, NY;"],"raw_orcid":"https://orcid.org/0000-0001-6964-3272","affiliations":[{"raw_affiliation_string":"Columbia University, New York, NY;","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5048879571"],"corresponding_institution_ids":["https://openalex.org/I78577930"],"apc_list":null,"apc_paid":null,"fwci":0.5396,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.58424269,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"943","last_page":"950"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9983999729156494,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9983999729156494,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9786999821662903,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10320","display_name":"Neural Networks and Applications","score":0.941100001335144,"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/inference","display_name":"Inference","score":0.8018852472305298},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.598327100276947},{"id":"https://openalex.org/keywords/causal-inference","display_name":"Causal inference","score":0.5384760499000549},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4509328603744507},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.43702933192253113},{"id":"https://openalex.org/keywords/conditional-probability","display_name":"Conditional probability","score":0.4363102912902832},{"id":"https://openalex.org/keywords/fiducial-inference","display_name":"Fiducial inference","score":0.4345988631248474},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4226805567741394},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.41407352685928345},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3732919991016388},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3555047810077667},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3442264199256897},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.34251290559768677},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33881253004074097},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3227696418762207},{"id":"https://openalex.org/keywords/frequentist-inference","display_name":"Frequentist inference","score":0.22762790322303772},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1258486807346344}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.8018852472305298},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.598327100276947},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.5384760499000549},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4509328603744507},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.43702933192253113},{"id":"https://openalex.org/C44492722","wikidata":"https://www.wikidata.org/wiki/Q327069","display_name":"Conditional probability","level":2,"score":0.4363102912902832},{"id":"https://openalex.org/C95167961","wikidata":"https://www.wikidata.org/wiki/Q4483495","display_name":"Fiducial inference","level":5,"score":0.4345988631248474},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4226805567741394},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.41407352685928345},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3732919991016388},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3555047810077667},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3442264199256897},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.34251290559768677},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33881253004074097},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3227696418762207},{"id":"https://openalex.org/C162376815","wikidata":"https://www.wikidata.org/wiki/Q2158281","display_name":"Frequentist inference","level":4,"score":0.22762790322303772},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1258486807346344},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:88434430","is_oa":false,"landing_page_url":"https://www.ijcai.org/papers11/Papers/IJCAI11-163.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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1557726990","https://openalex.org/W1615201606","https://openalex.org/W1824047490","https://openalex.org/W1962245749","https://openalex.org/W1995834279","https://openalex.org/W2005998857","https://openalex.org/W2038374320","https://openalex.org/W2045914854","https://openalex.org/W2101567517","https://openalex.org/W2102291607","https://openalex.org/W2110575115","https://openalex.org/W2129918244","https://openalex.org/W2160400978","https://openalex.org/W2169164747","https://openalex.org/W2171501814","https://openalex.org/W2257092998","https://openalex.org/W2611370172","https://openalex.org/W3124222149","https://openalex.org/W3133236490"],"related_works":["https://openalex.org/W1962245749","https://openalex.org/W3133236490","https://openalex.org/W2084829134","https://openalex.org/W145994340","https://openalex.org/W601509448","https://openalex.org/W2724523750","https://openalex.org/W2533753076","https://openalex.org/W2125490153","https://openalex.org/W2067558574","https://openalex.org/W1996253448","https://openalex.org/W2767171888","https://openalex.org/W2993796479","https://openalex.org/W2268560470","https://openalex.org/W70060515","https://openalex.org/W3197325194","https://openalex.org/W2121764959","https://openalex.org/W1494043421","https://openalex.org/W2415452489","https://openalex.org/W2063966378","https://openalex.org/W2013713816"],"abstract_inverted_index":{"Many":[0],"applications":[1],"of":[2,30,41,73,86,91,111],"causal":[3],"inference,":[4],"such":[5],"as":[6,53],"finding":[7,97],"the":[8,101,108,143],"relationship":[9],"between":[10],"stock":[11],"prices":[12],"and":[13,19,37,84,93,127],"news":[14],"reports,":[15],"involve":[16],"both":[17,124],"discrete":[18,92,144],"continuous":[20,62,94,102],"variables":[21],"observed":[22],"over":[23],"time.":[24],"Inference":[25],"with":[26,61,75,88],"these":[27],"complex":[28],"sets":[29],"temporal":[31,50],"data,":[32,131],"though,":[33],"has":[34],"remained":[35],"difficult":[36],"required":[38],"a":[39,89],"number":[40],"simplifications.":[42],"We":[43,119],"show":[44],"that":[45,133],"recent":[46],"approaches":[47],"for":[48,59],"inferring":[49],"relationships":[51,87,99],"(represented":[52],"logical":[54],"formulas)":[55],"can":[56,104,135],"be":[57,105],"adapted":[58],"inference":[60,85],"valued":[63],"effects.":[64],"Building":[65],"on":[66,123],"advances":[67],"in":[68,100],"logic,":[69],"PCTLc":[70],"(an":[71],"extension":[72],"PCTL":[74],"numerical":[76],"constraints)":[77],"is":[78],"introduced":[79],"here":[80],"to":[81,138],"allow":[82,136],"representation":[83],"mixture":[90],"components.":[95],"Then,":[96],"significant":[98],"case":[103],"done":[106],"using":[107],"conditional":[109,117],"expectation":[110],"an":[112],"effect,":[113],"rather":[114],"than":[115,142],"its":[116],"probability.":[118],"evaluate":[120],"this":[121],"approach":[122,145],"synthetically":[125],"generated":[126],"actual":[128],"financial":[129],"market":[130],"demonstrating":[132],"it":[134],"us":[137],"answer":[139],"different":[140],"questions":[141],"can.":[146]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":4},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}