{"id":"https://openalex.org/W4399526506","doi":"https://doi.org/10.1109/lcsys.2024.3412856","title":"Finite-Sample Identification of Linear Regression Models With Residual-Permuted Sums","display_name":"Finite-Sample Identification of Linear Regression Models With Residual-Permuted Sums","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399526506","doi":"https://doi.org/10.1109/lcsys.2024.3412856"},"language":"en","primary_location":{"id":"doi:10.1109/lcsys.2024.3412856","is_oa":true,"landing_page_url":"https://doi.org/10.1109/lcsys.2024.3412856","pdf_url":null,"source":{"id":"https://openalex.org/S4306422535","display_name":"IEEE Control Systems Letters","issn_l":"2475-1456","issn":["2475-1456"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Control Systems Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/lcsys.2024.3412856","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030751049","display_name":"Szabolcs Szentp\u00e9teri","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117195","display_name":"HUN-REN Institute for Computer Science and Control","ror":"https://ror.org/0249v7n71","country_code":"HU","type":"facility","lineage":["https://openalex.org/I4210117195","https://openalex.org/I4387152226"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Szabolcs Szentp\u00e9teri","raw_affiliation_strings":["Institute for Computer Science and Control (SZTAKI), Hungarian Research Network (HUN-REN), Budapest, Hungary"],"raw_orcid":"https://orcid.org/0009-0003-7562-9284","affiliations":[{"raw_affiliation_string":"Institute for Computer Science and Control (SZTAKI), Hungarian Research Network (HUN-REN), Budapest, Hungary","institution_ids":["https://openalex.org/I4210117195"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016151972","display_name":"Bal\u00e1zs Csan\u00e1d Cs\u00e1ji","orcid":"https://orcid.org/0000-0001-7079-8343"},"institutions":[{"id":"https://openalex.org/I4210117195","display_name":"HUN-REN Institute for Computer Science and Control","ror":"https://ror.org/0249v7n71","country_code":"HU","type":"facility","lineage":["https://openalex.org/I4210117195","https://openalex.org/I4387152226"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Bal\u00e1zs Csan\u00e1d Cs\u00e1ji","raw_affiliation_strings":["Institute for Computer Science and Control (SZTAKI), Hungarian Research Network (HUN-REN), Budapest, Hungary"],"raw_orcid":"https://orcid.org/0000-0001-7079-8343","affiliations":[{"raw_affiliation_string":"Institute for Computer Science and Control (SZTAKI), Hungarian Research Network (HUN-REN), Budapest, Hungary","institution_ids":["https://openalex.org/I4210117195"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210117195"],"apc_list":null,"apc_paid":null,"fwci":0.3714,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52467898,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"8","issue":null,"first_page":"1523","last_page":"1528"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.5917999744415283,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.5917999744415283,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7780817747116089},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5479941964149475},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.540966272354126},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5263527631759644},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5222407579421997},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5005807876586914},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4931480288505554},{"id":"https://openalex.org/keywords/proper-linear-model","display_name":"Proper linear model","score":0.42067769169807434},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.415477991104126},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.325563907623291},{"id":"https://openalex.org/keywords/bayesian-multivariate-linear-regression","display_name":"Bayesian multivariate linear regression","score":0.2659150958061218},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23408982157707214},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.0833490788936615},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.08131465315818787},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.05872684717178345}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7780817747116089},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5479941964149475},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.540966272354126},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5263527631759644},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5222407579421997},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5005807876586914},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4931480288505554},{"id":"https://openalex.org/C32224588","wikidata":"https://www.wikidata.org/wiki/Q7250175","display_name":"Proper linear model","level":4,"score":0.42067769169807434},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.415477991104126},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.325563907623291},{"id":"https://openalex.org/C64946054","wikidata":"https://www.wikidata.org/wiki/Q4874476","display_name":"Bayesian multivariate linear regression","level":3,"score":0.2659150958061218},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23408982157707214},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0833490788936615},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.08131465315818787},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.05872684717178345},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lcsys.2024.3412856","is_oa":true,"landing_page_url":"https://doi.org/10.1109/lcsys.2024.3412856","pdf_url":null,"source":{"id":"https://openalex.org/S4306422535","display_name":"IEEE Control Systems Letters","issn_l":"2475-1456","issn":["2475-1456"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Control Systems Letters","raw_type":"journal-article"},{"id":"pmh:oai:eprints.sztaki.hu:10770","is_oa":false,"landing_page_url":"https://eprints.sztaki.hu/10770/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401907","display_name":"SZTAKI Publication Repository (Hungarian Academy of Sciences)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I7597260","host_organization_name":"Hungarian Academy of Sciences","host_organization_lineage":["https://openalex.org/I7597260"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1109/lcsys.2024.3412856","is_oa":true,"landing_page_url":"https://doi.org/10.1109/lcsys.2024.3412856","pdf_url":null,"source":{"id":"https://openalex.org/S4306422535","display_name":"IEEE Control Systems Letters","issn_l":"2475-1456","issn":["2475-1456"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Control Systems Letters","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1255281942","display_name":null,"funder_award_id":"RRF- 2.3.1-21-2022-00002","funder_id":"https://openalex.org/F4320336675","funder_display_name":"National Research, Development and Innovation Office"},{"id":"https://openalex.org/G2154740497","display_name":null,"funder_award_id":"TKP2021-NKTA-01","funder_id":"https://openalex.org/F4320336675","funder_display_name":"National Research, Development and Innovation Office"},{"id":"https://openalex.org/G3743470659","display_name":null,"funder_award_id":"TKP2021-NKTA","funder_id":"https://openalex.org/F4320336675","funder_display_name":"National Research, Development and Innovation Office"},{"id":"https://openalex.org/G424312806","display_name":null,"funder_award_id":"RRF\u20102.3.1\u201021\u20102022\u201000002","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G7694217703","display_name":null,"funder_award_id":"TKP 2021","funder_id":"https://openalex.org/F4320336675","funder_display_name":"National Research, Development and Innovation Office"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320336675","display_name":"National Research, Development and Innovation Office","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2066065052","https://openalex.org/W2081305792","https://openalex.org/W2292716136","https://openalex.org/W2340468221","https://openalex.org/W2571464082","https://openalex.org/W2617115630","https://openalex.org/W4234264577","https://openalex.org/W4235278732","https://openalex.org/W4240691156","https://openalex.org/W4243330440","https://openalex.org/W4285198546","https://openalex.org/W4391021804"],"related_works":["https://openalex.org/W1519288722","https://openalex.org/W31220157","https://openalex.org/W2379898021","https://openalex.org/W267133670","https://openalex.org/W2376794814","https://openalex.org/W3216594821","https://openalex.org/W1915333409","https://openalex.org/W4226066678","https://openalex.org/W2288557197","https://openalex.org/W2363493500"],"abstract_inverted_index":{"This":[0,67,104],"letter":[1,68],"studies":[2],"a":[3,72],"distribution-free,":[4],"finite-sample":[5],"data":[6],"perturbation":[7],"(DP)":[8],"method,":[9],"the":[10,19,46,60,89,107,114,118,134],"Residual-Permuted":[11],"Sums":[12,21],"(RPS),":[13],"which":[14,37,75],"is":[15,56,128,138],"an":[16],"alternative":[17],"of":[18,45,63,126,136],"Sign-Perturbed":[20],"(SPS)":[22],"algorithm,":[23],"to":[24,131],"construct":[25],"confidence":[26,95],"regions.":[27],"While":[28],"SPS":[29,127],"assumes":[30,50],"independent":[31],"(but":[32],"potentially":[33],"time-varying)":[34],"noise":[35],"terms":[36],"are":[38,97],"symmetric":[39],"about":[40],"zero,":[41],"RPS":[42,58,70,79,108,137],"gets":[43],"rid":[44],"symmetricity":[47],"assumption,":[48],"but":[49],"i.i.d.":[51],"noises.":[52],"The":[53,122],"main":[54],"idea":[55],"that":[57,92,106],"permutes":[59],"residuals":[61],"instead":[62],"perturbing":[64],"their":[65],"signs.":[66],"introduces":[69],"in":[71],"flexible":[73],"way,":[74],"allows":[76],"various":[77],"design-choices.":[78],"has":[80],"exact":[81],"finite":[82],"sample":[83,119],"coverage":[84],"probabilities":[85],"and":[86,133],"we":[87],"provide":[88],"first":[90],"proof":[91],"these":[93],"permutation-based":[94],"regions":[96,109],"uniformly":[98],"strongly":[99],"consistent":[100],"under":[101],"general":[102],"assumptions.":[103],"means":[105],"almost":[110],"surely":[111],"shrink":[112],"around":[113],"true":[115],"parameters":[116],"as":[117,143],"size":[120],"increases.":[121],"ellipsoidal":[123],"outer-approximation":[124],"(EOA)":[125],"also":[129],"extended":[130],"RPS,":[132],"effectiveness":[135],"validated":[139],"by":[140],"numerical":[141],"experiments,":[142],"well.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}