{"id":"https://openalex.org/W2963819344","doi":"https://doi.org/10.1631/fitee.1700813","title":"Artificial intelligence and statistics","display_name":"Artificial intelligence and statistics","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2963819344","doi":"https://doi.org/10.1631/fitee.1700813","mag":"2963819344"},"language":"en","primary_location":{"id":"doi:10.1631/fitee.1700813","is_oa":false,"landing_page_url":"https://doi.org/10.1631/fitee.1700813","pdf_url":null,"source":{"id":"https://openalex.org/S4210189857","display_name":"Frontiers of Information Technology & Electronic Engineering","issn_l":"2095-9184","issn":["2095-9184","2095-9230"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers of Information Technology &amp; Electronic Engineering","raw_type":"journal-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/A5112583535","display_name":"Bin Yu","orcid":"https://orcid.org/0009-0007-1607-9285"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Bin Yu","raw_affiliation_strings":["Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, 94720, USA","Department of Statistics, University of California, Berkeley, CA, 94720, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, 94720, USA","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"Department of Statistics, University of California, Berkeley, CA, 94720, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013534934","display_name":"Karl Kumbier","orcid":"https://orcid.org/0000-0001-6521-1173"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Karl Kumbier","raw_affiliation_strings":["Department of Statistics, University of California, Berkeley, CA, 94720, USA"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of California, Berkeley, CA, 94720, USA","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5112583535"],"corresponding_institution_ids":["https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":58.4996,"has_fulltext":false,"cited_by_count":1991,"citation_normalized_percentile":{"value":0.99992775,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"19","issue":"1","first_page":"6","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12417","display_name":"Morphological variations and asymmetry","score":0.9794999957084656,"subfield":{"id":"https://openalex.org/subfields/2608","display_name":"Geometry and Topology"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12417","display_name":"Morphological variations and asymmetry","score":0.9794999957084656,"subfield":{"id":"https://openalex.org/subfields/2608","display_name":"Geometry and Topology"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/representativeness-heuristic","display_name":"Representativeness heuristic","score":0.8076654672622681},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.8043975234031677},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6762203574180603},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.5694832801818848},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5610976219177246},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49436211585998535},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4758044183254242},{"id":"https://openalex.org/keywords/scrutiny","display_name":"Scrutiny","score":0.43705278635025024},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.42351996898651123},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12706774473190308},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12698212265968323}],"concepts":[{"id":"https://openalex.org/C37381756","wikidata":"https://www.wikidata.org/wiki/Q20203288","display_name":"Representativeness heuristic","level":2,"score":0.8076654672622681},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8043975234031677},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6762203574180603},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.5694832801818848},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5610976219177246},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49436211585998535},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4758044183254242},{"id":"https://openalex.org/C2776050585","wikidata":"https://www.wikidata.org/wiki/Q7439360","display_name":"Scrutiny","level":2,"score":0.43705278635025024},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.42351996898651123},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12706774473190308},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12698212265968323},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1631/fitee.1700813","is_oa":false,"landing_page_url":"https://doi.org/10.1631/fitee.1700813","pdf_url":null,"source":{"id":"https://openalex.org/S4210189857","display_name":"Frontiers of Information Technology & Electronic Engineering","issn_l":"2095-9184","issn":["2095-9184","2095-9230"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers of Information Technology &amp; Electronic Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1553296127","https://openalex.org/W1976767421","https://openalex.org/W1995341919","https://openalex.org/W2016350172","https://openalex.org/W2731142262","https://openalex.org/W2885584690","https://openalex.org/W3150893739","https://openalex.org/W4230605228"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W3159631231","https://openalex.org/W4390569940","https://openalex.org/W2888392564","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W2806259446","https://openalex.org/W1986582023","https://openalex.org/W2966829450"],"abstract_inverted_index":{"Artificial":[0],"intelligence":[1],"(AI)":[2],"is":[3],"intrinsically":[4],"data-driven.":[5],"It":[6],"calls":[7],"for":[8,66],"the":[9,18,22,27,42,92,108,114,125],"application":[10],"of":[11,20,24,29,45,48,51,56,84,94,101,110,116],"statistical":[12,43,68],"concepts":[13,44],"through":[14,41],"human-machine":[15,36],"collaboration":[16,37],"during":[17],"generation":[19],"data,":[21,53],"development":[23],"algorithms,":[25],"and":[26,54,76,86,99,103,122],"evaluation":[28],"results.":[30,105],"This":[31],"paper":[32],"discusses":[33],"how":[34],"such":[35],"can":[38],"be":[39],"approached":[40],"population,":[46],"question":[47],"interest,":[49],"representativeness":[50],"training":[52],"scrutiny":[55],"results":[57],"(PQRS).":[58],"The":[59],"PQRS":[60],"workflow":[61],"provides":[62],"a":[63],"conceptual":[64],"framework":[65],"integrating":[67],"ideas":[69,79],"with":[70],"human":[71],"input":[72],"into":[73],"AI":[74],"products":[75],"researches.":[77],"These":[78],"include":[80],"experimental":[81],"design":[82],"principles":[83,112],"randomization":[85],"local":[87],"control":[88],"as":[89,91],"well":[90],"principle":[93],"stability":[95],"to":[96],"gain":[97],"reproducibility":[98],"interpretability":[100],"algorithms":[102],"data":[104],"We":[106],"discuss":[107],"use":[109],"these":[111],"in":[113],"contexts":[115],"self-driving":[117],"cars,":[118],"automated":[119],"medical":[120],"diagnoses,":[121],"examples":[123],"from":[124],"authors\u2019":[126],"collaborative":[127],"research.":[128]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":396},{"year":2024,"cited_by_count":674},{"year":2023,"cited_by_count":476},{"year":2022,"cited_by_count":248},{"year":2021,"cited_by_count":91},{"year":2020,"cited_by_count":27},{"year":2019,"cited_by_count":27},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
