{"id":"https://openalex.org/W2603132148","doi":"https://doi.org/10.1080/03610918.2017.1311916","title":"Bootstrap estimation and model selection for multivariate normal mixtures using parallel computing with graphics processing units","display_name":"Bootstrap estimation and model selection for multivariate normal mixtures using parallel computing with graphics processing units","publication_year":2017,"publication_date":"2017-03-31","ids":{"openalex":"https://openalex.org/W2603132148","doi":"https://doi.org/10.1080/03610918.2017.1311916","mag":"2603132148"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2017.1311916","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2017.1311916","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/journal_contribution/Bootstrap_Estimation_and_Model_Selection_for_Multivariate_Normal_Mixtures_using_Parallel_Computing_with_Graphics_Processing_Units/4807030","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046397418","display_name":"Masanari Iida","orcid":null},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masanari Iida","raw_affiliation_strings":["Graduate School of Engineering, Tokyo University of Science, Niijuku, Katsushika, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Tokyo University of Science, Niijuku, Katsushika, Tokyo, Japan","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062190227","display_name":"Yoichi Miyata","orcid":"https://orcid.org/0000-0002-9822-690X"},"institutions":[{"id":"https://openalex.org/I173145899","display_name":"Takasaki City University of Economics","ror":"https://ror.org/05m6adj80","country_code":"JP","type":"education","lineage":["https://openalex.org/I173145899"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoichi Miyata","raw_affiliation_strings":["Faculty of Economics, Takasaki City University of Economics, Kaminamie, Takasaki, Gunma, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Economics, Takasaki City University of Economics, Kaminamie, Takasaki, Gunma, Japan","institution_ids":["https://openalex.org/I173145899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035214643","display_name":"Takayuki Shiohama","orcid":"https://orcid.org/0000-0003-4808-6854"},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Takayuki Shiohama","raw_affiliation_strings":["Department of Information and Computer Technology, Tokyo University of Science, Niijuku, Katsushika, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Information and Computer Technology, Tokyo University of Science, Niijuku, Katsushika, Tokyo, Japan","institution_ids":["https://openalex.org/I161296585"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5035214643"],"corresponding_institution_ids":["https://openalex.org/I161296585"],"apc_list":null,"apc_paid":null,"fwci":0.195,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59424762,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"47","issue":"5","first_page":"1326","last_page":"1342"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9993000030517578,"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":0.9993000030517578,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9603000283241272,"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/T10136","display_name":"Statistical Methods and Inference","score":0.944599986076355,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.9570250511169434},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7401646375656128},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.6788575649261475},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.6693371534347534},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.593274712562561},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.5800763368606567},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.568636417388916},{"id":"https://openalex.org/keywords/general-purpose-computing-on-graphics-processing-units","display_name":"General-purpose computing on graphics processing units","score":0.5619027614593506},{"id":"https://openalex.org/keywords/graphics-processing-unit","display_name":"Graphics processing unit","score":0.5502979755401611},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.5008115768432617},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.48882195353507996},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39975467324256897},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13995656371116638},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.1397070288658142}],"concepts":[{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.9570250511169434},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7401646375656128},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6788575649261475},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.6693371534347534},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.593274712562561},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5800763368606567},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.568636417388916},{"id":"https://openalex.org/C50630238","wikidata":"https://www.wikidata.org/wiki/Q971505","display_name":"General-purpose computing on graphics processing units","level":3,"score":0.5619027614593506},{"id":"https://openalex.org/C2779851693","wikidata":"https://www.wikidata.org/wiki/Q183484","display_name":"Graphics processing unit","level":2,"score":0.5502979755401611},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.5008115768432617},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.48882195353507996},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39975467324256897},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13995656371116638},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.1397070288658142},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1080/03610918.2017.1311916","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2017.1311916","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"},{"id":"pmh:oai:figshare.com:article/4807030","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Bootstrap_Estimation_and_Model_Selection_for_Multivariate_Normal_Mixtures_using_Parallel_Computing_with_Graphics_Processing_Units/4807030","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"doi:10.6084/m9.figshare.4807030.v2","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.4807030.v2","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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-journal"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/4807030","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Bootstrap_Estimation_and_Model_Selection_for_Multivariate_Normal_Mixtures_using_Parallel_Computing_with_Graphics_Processing_Units/4807030","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320315254","display_name":"Innovative Research Group Project of the National Natural Science Foundation of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W130037070","https://openalex.org/W1501760102","https://openalex.org/W1963566461","https://openalex.org/W1977517056","https://openalex.org/W1985361918","https://openalex.org/W2008269266","https://openalex.org/W2031144387","https://openalex.org/W2040615655","https://openalex.org/W2041589088","https://openalex.org/W2043597286","https://openalex.org/W2049633694","https://openalex.org/W2055300442","https://openalex.org/W2064014870","https://openalex.org/W2079817125","https://openalex.org/W2081724349","https://openalex.org/W2089282704","https://openalex.org/W2109343155","https://openalex.org/W2110401950","https://openalex.org/W2117853077","https://openalex.org/W2141770651","https://openalex.org/W2142635246","https://openalex.org/W2144675138","https://openalex.org/W2154415584","https://openalex.org/W2168175751","https://openalex.org/W2488678869","https://openalex.org/W2519923421","https://openalex.org/W2520422404","https://openalex.org/W2803993057","https://openalex.org/W3016023956","https://openalex.org/W3104433300","https://openalex.org/W3105469179","https://openalex.org/W3105992602","https://openalex.org/W3106889297","https://openalex.org/W4206318793","https://openalex.org/W4249991467"],"related_works":["https://openalex.org/W1963859303","https://openalex.org/W2364044215","https://openalex.org/W2389600408","https://openalex.org/W240129890","https://openalex.org/W3048701459","https://openalex.org/W2149078538","https://openalex.org/W2080146221","https://openalex.org/W2370314112","https://openalex.org/W2153506571","https://openalex.org/W3104348697"],"abstract_inverted_index":{"In":[0],"applications":[1],"of":[2,10,45,74],"multivariate":[3],"finite":[4],"mixture":[5],"models,":[6],"estimating":[7],"the":[8,25,39,62,80,94],"number":[9,44],"unknown":[11],"components":[12],"is":[13],"often":[14],"difficult.":[15],"We":[16,48,69],"propose":[17],"a":[18,30,42,71,85],"bootstrap":[19,40,46],"information":[20],"criterion,":[21],"whereby":[22],"we":[23],"calculate":[24],"expected":[26],"log-likelihood":[27],"at":[28],"maximum":[29],"posteriori":[31],"estimates":[32],"for":[33],"model":[34],"selection.":[35],"Accurate":[36],"estimation":[37],"using":[38],"requires":[41],"large":[43],"replicates.":[47],"accelerate":[49],"this":[50],"computation":[51],"by":[52],"employing":[53],"parallel":[54],"processing":[55,58],"with":[56],"graphics":[57],"units":[59],"(GPUs)":[60],"on":[61,79,84],"Compute":[63],"Unified":[64],"Device":[65],"Architecture":[66],"(CUDA)":[67],"platform.":[68],"conducted":[70],"runtime":[72],"comparison":[73],"CUDA":[75,96],"algorithms":[76,97],"between":[77],"implementation":[78],"GPU":[81],"and":[82],"that":[83],"CPU.":[86],"The":[87],"results":[88],"showed":[89],"significant":[90],"performance":[91],"gains":[92],"in":[93],"proposed":[95],"over":[98],"multithread":[99],"CPUs.":[100]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}