{"id":"https://openalex.org/W7133308999","doi":"https://doi.org/10.48550/arxiv.2603.01119","title":"Robust Weighted Triangulation of Causal Effects Under Model Uncertainty","display_name":"Robust Weighted Triangulation of Causal Effects Under Model Uncertainty","publication_year":2026,"publication_date":"2026-03-01","ids":{"openalex":"https://openalex.org/W7133308999","doi":"https://doi.org/10.48550/arxiv.2603.01119"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.01119","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.01119","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.01119","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041602813","display_name":"Rohit Bhattacharya","orcid":"https://orcid.org/0000-0002-0555-9714"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Bhattacharya, Rohit","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117815781","display_name":"Ina Ocelli","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ocelli, Ina","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5017976263","display_name":"Ted Westling","orcid":"https://orcid.org/0000-0002-3362-1378"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Westling, Ted","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5041602813"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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":0.7608000040054321,"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":0.7608000040054321,"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":0.12729999423027039,"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 and History of Science","score":0.023099999874830246,"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":0.6811000108718872},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.656000018119812},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5702000260353088},{"id":"https://openalex.org/keywords/causal-model","display_name":"Causal model","score":0.5296000242233276},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.4812999963760376},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.37860000133514404},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.3564000129699707},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.3555000126361847},{"id":"https://openalex.org/keywords/causal-structure","display_name":"Causal structure","score":0.35510000586509705}],"concepts":[{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.6811000108718872},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.656000018119812},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5702000260353088},{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.5296000242233276},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5192999839782715},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.4812999963760376},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.42250001430511475},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40610000491142273},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.37860000133514404},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3734999895095825},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.3564000129699707},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3555000126361847},{"id":"https://openalex.org/C163504300","wikidata":"https://www.wikidata.org/wiki/Q2364925","display_name":"Causal structure","level":2,"score":0.35510000586509705},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3276999890804291},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.31929999589920044},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.3172000050544739},{"id":"https://openalex.org/C117222624","wikidata":"https://www.wikidata.org/wiki/Q7575010","display_name":"Specification","level":2,"score":0.3075999915599823},{"id":"https://openalex.org/C23131810","wikidata":"https://www.wikidata.org/wiki/Q818574","display_name":"Observational study","level":2,"score":0.3000999987125397},{"id":"https://openalex.org/C95167961","wikidata":"https://www.wikidata.org/wiki/Q4483495","display_name":"Fiducial inference","level":5,"score":0.2992999851703644},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29789999127388},{"id":"https://openalex.org/C48057537","wikidata":"https://www.wikidata.org/wiki/Q3551145","display_name":"Statistical theory","level":2,"score":0.2890999913215637},{"id":"https://openalex.org/C135981907","wikidata":"https://www.wikidata.org/wiki/Q188056","display_name":"Triangulation","level":2,"score":0.27469998598098755},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.2711000144481659},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.2696000039577484},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.26649999618530273},{"id":"https://openalex.org/C51234621","wikidata":"https://www.wikidata.org/wiki/Q2149495","display_name":"Testability","level":2,"score":0.2651999890804291},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26019999384880066},{"id":"https://openalex.org/C122770356","wikidata":"https://www.wikidata.org/wiki/Q1656753","display_name":"Identifiability","level":2,"score":0.25459998846054077}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.01119","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.01119","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.01119","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.01119","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.557202160358429}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"A":[0],"fundamental":[1],"challenge":[2],"in":[3],"causal":[4,14,46,66,75,124,152],"inference":[5,79,91,143],"with":[6,77,105,127],"observational":[7],"data":[8],"is":[9,18],"correct":[10],"specification":[11],"of":[12,40,108,118],"a":[13,48,63,95,113,162],"model.":[15],"When":[16],"there":[17],"model":[19,71,87,104,109],"uncertainty,":[20],"analysts":[21],"may":[22],"seek":[23],"to":[24,43,136,161],"use":[25],"estimates":[26],"from":[27,74,81,102,121],"multiple":[28],"candidate":[29],"models":[30,158],"that":[31,69,98],"rely":[32],"on":[33,115],"distinct,":[34],"and":[35,89,171],"possibly":[36],"partially":[37],"overlapping,":[38],"sets":[39],"identifying":[41],"assumptions":[42],"infer":[44],"the":[45,116,119,122],"effect,":[47],"process":[49],"known":[50],"as":[51],"triangulation.":[52],"Principled":[53],"methods":[54,73,80],"for":[55,65,144],"triangulation,":[56],"however,":[57],"remain":[58],"underdeveloped.":[59],"Here,":[60],"we":[61,139],"develop":[62],"framework":[64,148],"effect":[67,125],"triangulation":[68,96],"combines":[70,99],"testability":[72],"discovery":[76],"statistical":[78,142],"semiparametric":[82],"theory,":[83],"while":[84],"avoiding":[85],"explicit":[86],"selection":[88],"post-selection":[90],"problems.":[92],"We":[93,111,165],"propose":[94],"functional":[97,120],"identified":[100],"functionals":[101],"each":[103],"data-driven":[106],"measures":[107],"validity.":[110],"provide":[112],"bound":[114],"distance":[117,132],"true":[123],"along":[126],"conditions":[128],"under":[129,151],"which":[130],"this":[131,145],"can":[133],"be":[134],"taken":[135],"zero.":[137],"Finally,":[138],"derive":[140],"valid":[141],"functional.":[146],"Our":[147],"formalizes":[149],"robustness":[150],"pluralism":[153],"without":[154],"requiring":[155],"agreement":[156],"across":[157],"or":[159],"commitment":[160],"single":[163],"specification.":[164],"demonstrate":[166],"its":[167],"performance":[168],"through":[169],"simulations":[170],"an":[172],"empirical":[173],"application.":[174]},"counts_by_year":[],"updated_date":"2026-03-04T07:09:34.246503","created_date":"2026-03-04T00:00:00"}