{"id":"https://openalex.org/W1592011820","doi":null,"title":"Aspects of Graphical Models Connected with Causality","display_name":"Aspects of Graphical Models Connected with Causality","publication_year":2011,"publication_date":"2011-10-24","ids":{"openalex":"https://openalex.org/W1592011820","mag":"1592011820"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.54.5551","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.54.5551","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ftp://ftp.cs.ucla.edu/pub/stat_ser/R195-LL.ps","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"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/A5108208924","display_name":"Judea Pearl","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Judea Pearl","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5108208924"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8888,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.91417327,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":98},"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":1.0,"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":1.0,"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/T10845","display_name":"Advanced Causal Inference Techniques","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10778","display_name":"Philosophy of Biology and Scientific Explanation","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1207","display_name":"History and Philosophy of Science"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/causal-inference","display_name":"causal inference","score":0.6710000038146973},{"id":"https://openalex.org/keywords/directed-acyclic-graphs","display_name":"directed acyclic graphs","score":0.984000027179718},{"id":"https://openalex.org/keywords/conditional-independence","display_name":"conditional independence","score":0.7409999966621399},{"id":"https://openalex.org/keywords/intervention-effects","display_name":"intervention effects","score":0.5709999799728394},{"id":"https://openalex.org/keywords/causal-discovery","display_name":"causal discovery","score":0.3840000033378601},{"id":"https://openalex.org/keywords/non-experimental-data","display_name":"non-experimental data","score":0.7870000004768372},{"id":"https://openalex.org/keywords/probabilistic-graphical-models","display_name":"probabilistic graphical models","score":0.4699999988079071}],"concepts":[{"id":"https://openalex.org/C74197172","wikidata":"https://www.wikidata.org/wiki/Q1195339","display_name":"Directed acyclic graph","level":2,"score":0.7470061779022217},{"id":"https://openalex.org/C166151441","wikidata":"https://www.wikidata.org/wiki/Q4923601","display_name":"Causation","level":2,"score":0.6215505599975586},{"id":"https://openalex.org/C79772020","wikidata":"https://www.wikidata.org/wiki/Q5159264","display_name":"Conditional independence","level":2,"score":0.581088125705719},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.5793397426605225},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5654953718185425},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.5421702265739441},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5121929049491882},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4464242458343506},{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.44043800234794617},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2941678762435913},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2608838677406311},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2056730091571808},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.13865745067596436},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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},{"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}],"mesh":[],"locations_count":5,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.54.5551","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.54.5551","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ftp://ftp.cs.ucla.edu/pub/stat_ser/R195-LL.ps","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.56.572","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.56.572","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.stat.ucla.edu/papers/preprints/140.ps.gz","raw_type":"text"},{"id":"pmh:oai:escholarship.org/ark:/13030/qt9zx0h8k6","doi":null,"is_oa":false,"landing_page_url":"https://escholarship.org/uc/item/9zx0h8k6","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"},{"id":"pmh:qt9zx0h8k6","doi":null,"is_oa":false,"landing_page_url":"http://www.escholarship.org/uc/item/9zx0h8k6","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Judea Pearl. (2011). Aspects of Graphical Models Connected with Causality. Department of Statistics, UCLA. UCLA: Department of Statistics, UCLA. Retrieved from: http://www.escholarship.org/uc/item/9zx0h8k6","raw_type":"article"},{"id":"mag:1592011820","doi":null,"is_oa":false,"landing_page_url":"https://escholarship.org/uc/item/9zx0h8k6.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306507726","display_name":"Department of Statistics, UCLA","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Department of Statistics, UCLA","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1575365184","https://openalex.org/W7096368158","https://openalex.org/W2896146981","https://openalex.org/W7096299820","https://openalex.org/W203744573","https://openalex.org/W2163861190","https://openalex.org/W74486751","https://openalex.org/W2767353200","https://openalex.org/W2008312103","https://openalex.org/W4392004056"],"abstract_inverted_index":{"This":[0],"paper":[1],"demonstrates":[2],"the":[3,45,56,63,90,99,117,129],"use":[4],"of":[5,55,58,66,93,102,125],"graphs":[6,73],"as":[7,15,122],"a":[8,16,110,123],"mathematical":[9],"tool":[10],"for":[11,19,79,85],"expressing":[12],"independenices,":[13],"and":[14,21,39,68,84,87,104],"formal":[17],"language":[18],"communicating":[20],"processing":[22],"causal":[23],"information":[24,32],"in":[25,128],"statistical":[26],"analysis.":[27],"We":[28,60,96],"show":[29,69,105],"how":[30,44,116],"complex":[31],"about":[33],"external":[34,126],"interventions":[35,127],"can":[36,48],"be":[37,49],"organized":[38],"represented":[40],"graphically":[41],"and,":[42],"conversely,":[43],"graphical":[46],"representation":[47],"used":[50],"to":[51,137],"facilitate":[52],"quantitative":[53],"predictions":[54],"effects":[57],"interventions.":[59],"first":[61],"review":[62],"Markovian":[64],"account":[65,101],"causation":[67,103],"that":[70,106],"directed":[71],"acyclic":[72],"(DAGs)":[74],"offer":[75],"an":[76],"economical":[77],"scheme":[78],"representing":[80],"conditional":[81],"independence":[82],"assumptions":[83],"deducing":[86],"displaying":[88],"all":[89],"logical":[91],"consequences":[92],"such":[94],"assumptions.":[95],"then":[97],"introduce":[98],"manipulative":[100],"any":[107],"DAG":[108],"defines":[109],"simple":[111],"transformation":[112,133],"which":[113],"tells":[114],"us":[115],"probability":[118],"distribution":[119],"will":[120],"change":[121],"result":[124],"system.":[130],"Using":[131],"this":[132],"it":[134],"is":[135],"possible":[136],"quantify,":[138],"from":[139],"non-experimental":[140],"data...":[141]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":4},{"year":2012,"cited_by_count":2}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
