{"id":"https://openalex.org/W4388280087","doi":"https://doi.org/10.1109/icbase59196.2023.10303236","title":"Leverage Subsampling for Joint Mean and Variance Models with Massive Data","display_name":"Leverage Subsampling for Joint Mean and Variance Models with Massive Data","publication_year":2023,"publication_date":"2023-08-25","ids":{"openalex":"https://openalex.org/W4388280087","doi":"https://doi.org/10.1109/icbase59196.2023.10303236"},"language":"en","primary_location":{"id":"doi:10.1109/icbase59196.2023.10303236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icbase59196.2023.10303236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 4th International Conference on Big Data &amp; Artificial Intelligence &amp; Software Engineering (ICBASE)","raw_type":"proceedings-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/A5102575191","display_name":"Mingxia Gong","orcid":"https://orcid.org/0000-0002-9983-8465"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingxia Gong","raw_affiliation_strings":["Kunming University of Science and Technology,Kunming,China","Kunming University of Science and Technology, Kunming, China"],"affiliations":[{"raw_affiliation_string":"Kunming University of Science and Technology,Kunming,China","institution_ids":["https://openalex.org/I10660446"]},{"raw_affiliation_string":"Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108880479","display_name":"Zhiyu Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyu Deng","raw_affiliation_strings":["Kunming University of Science and Technology,Kunming,China","Kunming University of Science and Technology, Kunming, China"],"affiliations":[{"raw_affiliation_string":"Kunming University of Science and Technology,Kunming,China","institution_ids":["https://openalex.org/I10660446"]},{"raw_affiliation_string":"Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075450175","display_name":"Runze Chen","orcid":"https://orcid.org/0000-0002-6599-7898"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runze Chen","raw_affiliation_strings":["Kunming University of Science and Technology,Kunming,China","Kunming University of Science and Technology, Kunming, China"],"affiliations":[{"raw_affiliation_string":"Kunming University of Science and Technology,Kunming,China","institution_ids":["https://openalex.org/I10660446"]},{"raw_affiliation_string":"Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101547318","display_name":"Dong Yi","orcid":"https://orcid.org/0000-0002-7881-216X"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Dong","raw_affiliation_strings":["Kunming University of Science and Technology,Kunming,China","Kunming University of Science and Technology, Kunming, China"],"affiliations":[{"raw_affiliation_string":"Kunming University of Science and Technology,Kunming,China","institution_ids":["https://openalex.org/I10660446"]},{"raw_affiliation_string":"Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071993674","display_name":"Siyi Du","orcid":"https://orcid.org/0000-0002-9961-4533"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyi Du","raw_affiliation_strings":["Kunming University of Science and Technology,Kunming,China","Kunming University of Science and Technology, Kunming, China"],"affiliations":[{"raw_affiliation_string":"Kunming University of Science and Technology,Kunming,China","institution_ids":["https://openalex.org/I10660446"]},{"raw_affiliation_string":"Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072234897","display_name":"Liucang Wu","orcid":"https://orcid.org/0000-0001-5560-7748"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liucang Wu","raw_affiliation_strings":["Kunming University of Science and Technology,Kunming,China","Kunming University of Science and Technology, Kunming, China"],"affiliations":[{"raw_affiliation_string":"Kunming University of Science and Technology,Kunming,China","institution_ids":["https://openalex.org/I10660446"]},{"raw_affiliation_string":"Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102575191"],"corresponding_institution_ids":["https://openalex.org/I10660446"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14230026,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"122","last_page":"128"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9972000122070312,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9972000122070312,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9943000078201294,"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/T12368","display_name":"Grey System Theory Applications","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.8891866207122803},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5885046720504761},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.583236038684845},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5411995053291321},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4767107367515564},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4261326789855957},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.41441625356674194},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36124682426452637},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28472357988357544},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2569213807582855}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.8891866207122803},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5885046720504761},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.583236038684845},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5411995053291321},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4767107367515564},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4261326789855957},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.41441625356674194},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36124682426452637},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28472357988357544},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2569213807582855},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icbase59196.2023.10303236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icbase59196.2023.10303236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 4th International Conference on Big Data &amp; Artificial Intelligence &amp; Software Engineering (ICBASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W20479761","https://openalex.org/W2043804332","https://openalex.org/W2056594234","https://openalex.org/W2058404065","https://openalex.org/W2064189889","https://openalex.org/W2116780995","https://openalex.org/W2141696759","https://openalex.org/W2144816788","https://openalex.org/W2159562728","https://openalex.org/W2329556022","https://openalex.org/W2508939449","https://openalex.org/W2544572604","https://openalex.org/W2596535828","https://openalex.org/W2768974525","https://openalex.org/W2975245449","https://openalex.org/W3011450613","https://openalex.org/W3044420422","https://openalex.org/W4220743718","https://openalex.org/W4230985103","https://openalex.org/W4247116797","https://openalex.org/W4313367625","https://openalex.org/W4322010268","https://openalex.org/W6650267568","https://openalex.org/W6677280552","https://openalex.org/W6745858715","https://openalex.org/W6767893161"],"related_works":["https://openalex.org/W2787993192","https://openalex.org/W2158269427","https://openalex.org/W4381280689","https://openalex.org/W2847365777","https://openalex.org/W1987895267","https://openalex.org/W3128025644","https://openalex.org/W2355048207","https://openalex.org/W2350519135","https://openalex.org/W2750422482","https://openalex.org/W3125827053"],"abstract_inverted_index":{"In":[0],"the":[1,27,34,43,73,84],"era":[2],"of":[3,29,36,86],"massive":[4],"data,":[5],"how":[6],"to":[7,25,56],"obtain":[8],"valuable":[9],"information":[10],"from":[11],"large-scale":[12],"data":[13,31],"has":[14],"become":[15],"an":[16],"important":[17],"research":[18],"direction.":[19],"Subsampling":[20],"is":[21,54],"a":[22],"common":[23],"method":[24],"reduce":[26],"dimension":[28],"such":[30],"and":[32,46,64,78],"improve":[33],"efficiency":[35],"model":[37],"calculation.":[38],"The":[39,69],"subsampling":[40,62,67],"based":[41,75],"on":[42,76],"Joint":[44],"Mean":[45],"Variance":[47],"Models":[48],"(JMVM)":[49],"are":[50],"proposed.":[51],"Numerical":[52],"simulation":[53],"used":[55],"evaluate":[57],"uniform":[58],"sampling":[59],"(UNIF),":[60],"leverage":[61,66],"(LEV)":[63],"shrinkage":[65],"(SLEV).":[68],"results":[70],"show":[71],"that":[72],"models":[74],"LEV":[77],"SLEV":[79],"exhibit":[80],"higher":[81],"accuracy":[82],"in":[83],"estimation":[85],"mean":[87],"parameters.":[88]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
