{"id":"https://openalex.org/W2966681163","doi":"https://doi.org/10.24963/ijcai.2019/826","title":"Three-quarter Sibling Regression for Denoising Observational Data","display_name":"Three-quarter Sibling Regression for Denoising Observational Data","publication_year":2019,"publication_date":"2019-07-28","ids":{"openalex":"https://openalex.org/W2966681163","doi":"https://doi.org/10.24963/ijcai.2019/826","mag":"2966681163"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2019/826","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/826","pdf_url":"https://www.ijcai.org/proceedings/2019/0826.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2019/0826.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113150390","display_name":"Shiv Shankar Shankar","orcid":"https://orcid.org/0000-0003-1631-2570"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shiv Shankar","raw_affiliation_strings":["University of Massachusetts Amherst"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts Amherst","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061155671","display_name":"Daniel Sheldon","orcid":"https://orcid.org/0000-0002-4257-2432"},"institutions":[{"id":"https://openalex.org/I150693791","display_name":"Mount Holyoke College","ror":"https://ror.org/031z8pr38","country_code":"US","type":"education","lineage":["https://openalex.org/I150693791"]},{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Sheldon","raw_affiliation_strings":["Mount Holyoke College","University of Massachusetts Amherst"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mount Holyoke College","institution_ids":["https://openalex.org/I150693791"]},{"raw_affiliation_string":"University of Massachusetts Amherst","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101652546","display_name":"Tao Sun","orcid":"https://orcid.org/0009-0006-7299-6531"},"institutions":[{"id":"https://openalex.org/I4210089985","display_name":"Amazon (Germany)","ror":"https://ror.org/00b9ktm87","country_code":"DE","type":"company","lineage":["https://openalex.org/I1311688040","https://openalex.org/I4210089985"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tao Sun","raw_affiliation_strings":["Amazon"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amazon","institution_ids":["https://openalex.org/I4210089985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111775135","display_name":"John Pickering","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"John Pickering","raw_affiliation_strings":["University of Georgia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Georgia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074537073","display_name":"Thomas G. Dietterich","orcid":"https://orcid.org/0000-0002-8223-8586"},"institutions":[{"id":"https://openalex.org/I131249849","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60","country_code":"US","type":"education","lineage":["https://openalex.org/I131249849"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas G. Dietterich","raw_affiliation_strings":["Oregon State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oregon State University","institution_ids":["https://openalex.org/I131249849"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.328,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.60007618,"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":"5960","last_page":"5966"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9814000129699707,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9814000129699707,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.97079998254776,"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/T13398","display_name":"Data Analysis with R","score":0.9707000255584717,"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/regression","display_name":"Regression","score":0.5415284037590027},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5221081972122192},{"id":"https://openalex.org/keywords/observational-study","display_name":"Observational study","score":0.5189287662506104},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5107386112213135},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49310871958732605},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4682126045227051},{"id":"https://openalex.org/keywords/sibling","display_name":"Sibling","score":0.4306142330169678},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.42695939540863037},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38583648204803467},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3662850856781006},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12214833498001099}],"concepts":[{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5415284037590027},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5221081972122192},{"id":"https://openalex.org/C23131810","wikidata":"https://www.wikidata.org/wiki/Q818574","display_name":"Observational study","level":2,"score":0.5189287662506104},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5107386112213135},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49310871958732605},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4682126045227051},{"id":"https://openalex.org/C2776194465","wikidata":"https://www.wikidata.org/wiki/Q31184","display_name":"Sibling","level":2,"score":0.4306142330169678},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.42695939540863037},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38583648204803467},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3662850856781006},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12214833498001099},{"id":"https://openalex.org/C138496976","wikidata":"https://www.wikidata.org/wiki/Q175002","display_name":"Developmental psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2019/826","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/826","pdf_url":"https://www.ijcai.org/proceedings/2019/0826.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2019/826","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/826","pdf_url":"https://www.ijcai.org/proceedings/2019/0826.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2966681163.pdf","grobid_xml":"https://content.openalex.org/works/W2966681163.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1994550352","https://openalex.org/W2027522145","https://openalex.org/W2101612055","https://openalex.org/W2124225749","https://openalex.org/W2138710913","https://openalex.org/W2151877045","https://openalex.org/W2157289208","https://openalex.org/W2167460663","https://openalex.org/W2195123475","https://openalex.org/W2220884131","https://openalex.org/W2231898580","https://openalex.org/W2604677547","https://openalex.org/W2795673246","https://openalex.org/W2950618783","https://openalex.org/W2963963632","https://openalex.org/W3100772167","https://openalex.org/W4230660192"],"related_works":["https://openalex.org/W31220157","https://openalex.org/W2312753042","https://openalex.org/W4289356671","https://openalex.org/W2389155397","https://openalex.org/W2165884543","https://openalex.org/W3186837933","https://openalex.org/W2368989808","https://openalex.org/W1969346022","https://openalex.org/W2034959125","https://openalex.org/W2355687852"],"abstract_inverted_index":{"Many":[0],"ecological":[1],"studies":[2],"and":[3,36,59,120],"conservation":[4],"policies":[5],"are":[6,57,73],"based":[7],"on":[8,117],"field":[9],"observations":[10],"of":[11,43,69,96,111],"species,":[12],"which":[13],"can":[14,34,92],"be":[15],"affected":[16],"by":[17,21,75],"systematic":[18,39,97,125],"variability":[19,53,127],"introduced":[20,27],"the":[22,55,94,100],"observation":[23],"process.":[24],"A":[25],"recently":[26],"causal":[28],"modeling":[29,68],"technique":[30,81],"called":[31,82],"'half-sibling":[32],"regression'":[33,85],"detect":[35],"correct":[37],"for":[38],"errors":[40],"in":[41,132],"measurements":[42],"multiple":[44],"independent":[45],"random":[46],"variables.":[47],"However,":[48],"it":[49,123],"will":[50],"remove":[51],"intrinsic":[52],"if":[54],"variables":[56,102],"dependent,":[58],"therefore":[60],"does":[61],"not":[62],"apply":[63],"to":[64,86,129],"many":[65],"situations,":[66],"including":[67],"species":[70],"counts":[71],"that":[72,122],"controlled":[74],"common":[76,105],"causes.":[77,106],"We":[78,107],"present":[79],"a":[80],"'three-quarter":[83],"sibling":[84],"partially":[87],"overcome":[88],"this":[89,112],"limitation.":[90],"It":[91],"filter":[93],"effect":[95],"noise":[98],"when":[99],"latent":[101],"have":[103],"observed":[104],"provide":[108],"theoretical":[109],"justification":[110],"approach,":[113],"demonstrate":[114],"its":[115],"effectiveness":[116],"synthetic":[118],"data,":[119],"show":[121],"reduces":[124],"detection":[126],"due":[128],"moon":[130],"brightness":[131],"moth":[133],"surveys.":[134]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}