{"id":"https://openalex.org/W2520625856","doi":"https://doi.org/10.1109/hpcsim.2016.7568408","title":"Finite information limit variance-covariance structures: Is the entire dataset needed for analysis?","display_name":"Finite information limit variance-covariance structures: Is the entire dataset needed for analysis?","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2520625856","doi":"https://doi.org/10.1109/hpcsim.2016.7568408","mag":"2520625856"},"language":"en","primary_location":{"id":"doi:10.1109/hpcsim.2016.7568408","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcsim.2016.7568408","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on High Performance Computing &amp; Simulation (HPCS)","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/A5081728381","display_name":"Vahid Nassiri","orcid":"https://orcid.org/0000-0003-4663-3930"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]},{"id":"https://openalex.org/I2802330208","display_name":"Statistics Belgium","ror":"https://ror.org/0246a9012","country_code":"BE","type":"government","lineage":["https://openalex.org/I2802330208","https://openalex.org/I4210095879"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Vahid Nassiri","raw_affiliation_strings":["I-BioStat, KU Leuven, Belgium"],"affiliations":[{"raw_affiliation_string":"I-BioStat, KU Leuven, Belgium","institution_ids":["https://openalex.org/I2802330208","https://openalex.org/I99464096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040115712","display_name":"Geert Molenberghs","orcid":"https://orcid.org/0000-0002-6453-5448"},"institutions":[{"id":"https://openalex.org/I878454856","display_name":"Hasselt University","ror":"https://ror.org/04nbhqj75","country_code":"BE","type":"education","lineage":["https://openalex.org/I878454856"]},{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Geert Molenberghs","raw_affiliation_strings":["I-BioStat, Universiteit Hasselt and KU Leuven"],"affiliations":[{"raw_affiliation_string":"I-BioStat, Universiteit Hasselt and KU Leuven","institution_ids":["https://openalex.org/I878454856","https://openalex.org/I99464096"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012712033","display_name":"Geert Verbeke","orcid":"https://orcid.org/0000-0001-8430-7576"},"institutions":[{"id":"https://openalex.org/I878454856","display_name":"Hasselt University","ror":"https://ror.org/04nbhqj75","country_code":"BE","type":"education","lineage":["https://openalex.org/I878454856"]},{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Geert Verbeke","raw_affiliation_strings":["I-BioStat, KU Leuven and Universiteit Hasselt"],"affiliations":[{"raw_affiliation_string":"I-BioStat, KU Leuven and Universiteit Hasselt","institution_ids":["https://openalex.org/I878454856","https://openalex.org/I99464096"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5081728381"],"corresponding_institution_ids":["https://openalex.org/I2802330208","https://openalex.org/I99464096"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09505478,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"736","last_page":"742"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9987000226974487,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9927999973297119,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9915000200271606,"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/covariance","display_name":"Covariance","score":0.7960524559020996},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.7298897504806519},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.669505774974823},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6666671633720398},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5651227235794067},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5457630753517151},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.5440846681594849},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5349857211112976},{"id":"https://openalex.org/keywords/analysis-of-covariance","display_name":"Analysis of covariance","score":0.4680473506450653},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3845229744911194},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3642268180847168},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.29601991176605225},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12877744436264038}],"concepts":[{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.7960524559020996},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.7298897504806519},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.669505774974823},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6666671633720398},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5651227235794067},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5457630753517151},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.5440846681594849},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5349857211112976},{"id":"https://openalex.org/C119340705","wikidata":"https://www.wikidata.org/wiki/Q1628597","display_name":"Analysis of covariance","level":2,"score":0.4680473506450653},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3845229744911194},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3642268180847168},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.29601991176605225},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12877744436264038},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/hpcsim.2016.7568408","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcsim.2016.7568408","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on High Performance Computing &amp; Simulation (HPCS)","raw_type":"proceedings-article"},{"id":"pmh:oai:documentserver.uhasselt.be:1942/23265","is_oa":false,"landing_page_url":"http://hdl.handle.net/1942/23265","pdf_url":null,"source":{"id":"https://openalex.org/S4306401926","display_name":"Document Server@UHasselt (UHasselt)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I878454856","host_organization_name":"Hasselt University","host_organization_lineage":["https://openalex.org/I878454856"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1978136073","https://openalex.org/W1980911127","https://openalex.org/W1992370867","https://openalex.org/W1997701312","https://openalex.org/W2014686650","https://openalex.org/W2015551715","https://openalex.org/W2033707370","https://openalex.org/W2039556215","https://openalex.org/W2048931622","https://openalex.org/W2050930135","https://openalex.org/W2082246284","https://openalex.org/W2146643231","https://openalex.org/W2394032961","https://openalex.org/W3090529871","https://openalex.org/W3099060456","https://openalex.org/W7017988268"],"related_works":["https://openalex.org/W4235479087","https://openalex.org/W1503294153","https://openalex.org/W2383820648","https://openalex.org/W2084133194","https://openalex.org/W2363838894","https://openalex.org/W2357858433","https://openalex.org/W2050664815","https://openalex.org/W4248848563","https://openalex.org/W4236328372","https://openalex.org/W2492984665"],"abstract_inverted_index":{"Finite":[0],"Information":[1],"Limit":[2],"(FIL)":[3],"variance-covariance":[4],"structures":[5],"for":[6,13],"hierarchical":[7],"data":[8],"are":[9],"introduced":[10],"and":[11],"examined:":[12],"such":[14],"data,":[15],"it":[16],"is":[17,42,47],"often":[18],"possible":[19],"to":[20,29,49],"analyze":[21],"only":[22],"a":[23,54],"sometimes":[24],"very":[25],"small":[26],"subset,":[27],"leading":[28],"considerable":[30],"computation":[31],"time":[32],"gain,":[33],"with":[34],"almost":[35],"no":[36],"efficiency":[37],"loss.":[38],"A":[39,44],"central":[40],"example":[41],"compound-symmetry.":[43],"simple":[45],"approach":[46],"proposed":[48],"detect":[50],"this":[51],"property":[52],"in":[53],"given":[55],"dataset.":[56]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
