{"id":"https://openalex.org/W3037152749","doi":"https://doi.org/10.23919/eusipco47968.2020.9287415","title":"Efficient Estimation of Kronecker Product of Linear Structured Scatter Matrices under t-distribution","display_name":"Efficient Estimation of Kronecker Product of Linear Structured Scatter Matrices under t-distribution","publication_year":2020,"publication_date":"2020-12-18","ids":{"openalex":"https://openalex.org/W3037152749","doi":"https://doi.org/10.23919/eusipco47968.2020.9287415","mag":"3037152749"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco47968.2020.9287415","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco47968.2020.9287415","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 28th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-02873816","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005061461","display_name":"Bruno M\u00e9riaux","orcid":"https://orcid.org/0000-0002-0533-032X"},"institutions":[{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Bruno Meriaux","raw_affiliation_strings":["SONDRA, CentraleSup\u00e9lec, Paris-Saclay University, Gif-sur-Yvette, France","Sondra, CentraleSup\u00e9lec, Universit\u00e9 Paris-Saclay"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SONDRA, CentraleSup\u00e9lec, Paris-Saclay University, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I4210107720","https://openalex.org/I277688954"]},{"raw_affiliation_string":"Sondra, CentraleSup\u00e9lec, Universit\u00e9 Paris-Saclay","institution_ids":["https://openalex.org/I4210107720","https://openalex.org/I277688954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029566720","display_name":"Chengfang Ren","orcid":"https://orcid.org/0000-0001-8438-4539"},"institutions":[{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Chengfang Ren","raw_affiliation_strings":["SONDRA, CentraleSup\u00e9lec, Paris-Saclay University, Gif-sur-Yvette, France","Sondra, CentraleSup\u00e9lec, Universit\u00e9 Paris-Saclay"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SONDRA, CentraleSup\u00e9lec, Paris-Saclay University, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I4210107720","https://openalex.org/I277688954"]},{"raw_affiliation_string":"Sondra, CentraleSup\u00e9lec, Universit\u00e9 Paris-Saclay","institution_ids":["https://openalex.org/I4210107720","https://openalex.org/I277688954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059566872","display_name":"Arnaud Breloy","orcid":"https://orcid.org/0000-0002-3802-9015"},"institutions":[{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4387152587","display_name":"Laboratoire \u00e9nerg\u00e9tique m\u00e9canique \u00e9lectromagn\u00e9tisme","ror":"https://ror.org/00ae7xs76","country_code":null,"type":"facility","lineage":["https://openalex.org/I40434647","https://openalex.org/I4387152587"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Arnaud Breloy","raw_affiliation_strings":["SONDRA, CentraleSup\u00e9lec, Paris-Saclay University, Gif-sur-Yvette, France","Laboratoire Energ\u00e9tique M\u00e9canique Electromagn\u00e9tisme"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SONDRA, CentraleSup\u00e9lec, Paris-Saclay University, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I4210107720","https://openalex.org/I277688954"]},{"raw_affiliation_string":"Laboratoire Energ\u00e9tique M\u00e9canique Electromagn\u00e9tisme","institution_ids":["https://openalex.org/I4387152587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052423002","display_name":"Mohammed Nabil El Korso","orcid":"https://orcid.org/0000-0002-5489-4308"},"institutions":[{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]},{"id":"https://openalex.org/I4387152587","display_name":"Laboratoire \u00e9nerg\u00e9tique m\u00e9canique \u00e9lectromagn\u00e9tisme","ror":"https://ror.org/00ae7xs76","country_code":null,"type":"facility","lineage":["https://openalex.org/I40434647","https://openalex.org/I4387152587"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mohammed Nabil El Korso","raw_affiliation_strings":["SONDRA, CentraleSup\u00e9lec, Paris-Saclay University, Gif-sur-Yvette, France","Laboratoire Energ\u00e9tique M\u00e9canique Electromagn\u00e9tisme"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SONDRA, CentraleSup\u00e9lec, Paris-Saclay University, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I4210107720","https://openalex.org/I277688954"]},{"raw_affiliation_string":"Laboratoire Energ\u00e9tique M\u00e9canique Electromagn\u00e9tisme","institution_ids":["https://openalex.org/I4387152587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030687318","display_name":"Philippe Forster","orcid":"https://orcid.org/0009-0002-2679-8316"},"institutions":[{"id":"https://openalex.org/I4210136613","display_name":"Laboratoire des syst\u00e8mes et applications des technologies de l'information et de l'\u00e9nergie","ror":"https://ror.org/03vam5b06","country_code":"FR","type":"facility","lineage":["https://openalex.org/I11559806","https://openalex.org/I124158823","https://openalex.org/I1294671590","https://openalex.org/I277688954","https://openalex.org/I277688954","https://openalex.org/I4210134562","https://openalex.org/I4210136613","https://openalex.org/I4210142324","https://openalex.org/I4210154111"]},{"id":"https://openalex.org/I40434647","display_name":"Universit\u00e9 Paris Nanterre","ror":"https://ror.org/013bkhk48","country_code":"FR","type":"education","lineage":["https://openalex.org/I40434647"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Philippe Forster","raw_affiliation_strings":["SATIE, Paris-Nanterre University, Cachan, France","Syst\u00e8mes et Applications des Technologies de l'Information et de l'Energie"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SATIE, Paris-Nanterre University, Cachan, France","institution_ids":["https://openalex.org/I40434647","https://openalex.org/I4210136613"]},{"raw_affiliation_string":"Syst\u00e8mes et Applications des Technologies de l'Information et de l'Energie","institution_ids":["https://openalex.org/I4210136613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5005061461"],"corresponding_institution_ids":["https://openalex.org/I277688954","https://openalex.org/I4210107720"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07115503,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2418","last_page":"2422"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/kronecker-product","display_name":"Kronecker product","score":0.9577848315238953},{"id":"https://openalex.org/keywords/kronecker-delta","display_name":"Kronecker delta","score":0.6251487135887146},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6083120703697205},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6029509902000427},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5314192771911621},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5015406608581543},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4668363332748413},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.45743873715400696},{"id":"https://openalex.org/keywords/generalized-linear-array-model","display_name":"Generalized linear array model","score":0.4502602517604828},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.44471901655197144},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.42353835701942444},{"id":"https://openalex.org/keywords/outer-product","display_name":"Outer product","score":0.4205542802810669},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41231846809387207},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3892991542816162},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3771156370639801},{"id":"https://openalex.org/keywords/generalized-linear-mixed-model","display_name":"Generalized linear mixed model","score":0.2990903854370117},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16672387719154358},{"id":"https://openalex.org/keywords/tensor-product","display_name":"Tensor product","score":0.14782023429870605},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.0840015709400177},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.08061859011650085}],"concepts":[{"id":"https://openalex.org/C46030957","wikidata":"https://www.wikidata.org/wiki/Q1238125","display_name":"Kronecker product","level":3,"score":0.9577848315238953},{"id":"https://openalex.org/C39482219","wikidata":"https://www.wikidata.org/wiki/Q192826","display_name":"Kronecker delta","level":2,"score":0.6251487135887146},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6083120703697205},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6029509902000427},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5314192771911621},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5015406608581543},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4668363332748413},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.45743873715400696},{"id":"https://openalex.org/C192016951","wikidata":"https://www.wikidata.org/wiki/Q5532489","display_name":"Generalized linear array model","level":3,"score":0.4502602517604828},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.44471901655197144},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.42353835701942444},{"id":"https://openalex.org/C180623205","wikidata":"https://www.wikidata.org/wiki/Q1268589","display_name":"Outer product","level":3,"score":0.4205542802810669},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41231846809387207},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3892991542816162},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3771156370639801},{"id":"https://openalex.org/C153720581","wikidata":"https://www.wikidata.org/wiki/Q5532490","display_name":"Generalized linear mixed model","level":2,"score":0.2990903854370117},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16672387719154358},{"id":"https://openalex.org/C51255310","wikidata":"https://www.wikidata.org/wiki/Q1163016","display_name":"Tensor product","level":2,"score":0.14782023429870605},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0840015709400177},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.08061859011650085},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.23919/eusipco47968.2020.9287415","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco47968.2020.9287415","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 28th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-02873816v1","is_oa":true,"landing_page_url":"https://hal.science/hal-02873816","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"28th European Signal Processing Conference (EUSIPCO 2020), Jan 2021, Amsterdam, Netherlands. pp.2418-2422, &#x27E8;10.23919/eusipco47968.2020.9287415&#x27E9;","raw_type":"Conference papers"},{"id":"pmh:oai:HAL:hal-04472663v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04472663","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2020 28th European Signal Processing Conference (EUSIPCO)","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-02873816v1","is_oa":true,"landing_page_url":"https://hal.science/hal-02873816","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"28th European Signal Processing Conference (EUSIPCO 2020), Jan 2021, Amsterdam, Netherlands. pp.2418-2422, &#x27E8;10.23919/eusipco47968.2020.9287415&#x27E9;","raw_type":"Conference papers"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1515333551","https://openalex.org/W1992511687","https://openalex.org/W1997155281","https://openalex.org/W2014937354","https://openalex.org/W2049063033","https://openalex.org/W2057874461","https://openalex.org/W2060024117","https://openalex.org/W2066620825","https://openalex.org/W2068425868","https://openalex.org/W2074086498","https://openalex.org/W2077813311","https://openalex.org/W2105675447","https://openalex.org/W2118522007","https://openalex.org/W2121367139","https://openalex.org/W2155413294","https://openalex.org/W2167430018","https://openalex.org/W2259656359","https://openalex.org/W2287893571","https://openalex.org/W2556238661","https://openalex.org/W2593729083","https://openalex.org/W2953989332","https://openalex.org/W3099401462","https://openalex.org/W4211128380"],"related_works":["https://openalex.org/W123417539","https://openalex.org/W4233239985","https://openalex.org/W2079407403","https://openalex.org/W2060299328","https://openalex.org/W2073634779","https://openalex.org/W3102722572","https://openalex.org/W2090103374","https://openalex.org/W577870507","https://openalex.org/W2117336295","https://openalex.org/W2964147297"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"structured":[3,85],"scatter":[4,75],"matrix":[5],"estimation":[6,49],"within":[7],"the":[8,52,57,74,92],"non":[9],"convex":[10],"set":[11],"of":[12,54,73],"Kronecker":[13,79],"product":[14,80],"structure.":[15],"The":[16],"latter":[17],"model":[18,63],"usually":[19],"involves":[20],"two":[21],"matrices,":[22],"which":[23],"can":[24],"be":[25],"themselves":[26],"linearly":[27],"constrained,":[28],"and":[29,82,98],"arises":[30],"in":[31],"many":[32],"applications,":[33],"such":[34],"as":[35],"MIMO":[36],"communication,":[37],"MEG/EEG":[38],"data":[39],"analysis.":[40],"Taking":[41],"this":[42,67],"prior":[43],"knowledge":[44],"into":[45],"account":[46],"generally":[47],"improves":[48],"accuracy.":[50],"In":[51,66,87],"framework":[53],"robust":[55],"estimation,":[56],"t-distribution":[58],"is":[59],"particularly":[60],"suited":[61],"to":[62],"heavy-tailed":[64],"data.":[65],"context,":[68],"we":[69,89],"introduce":[70],"an":[71],"estimator":[72],"matrix,":[76],"having":[77],"a":[78,96],"structure":[81],"potential":[83],"linear":[84],"factors.":[86],"addition,":[88],"show":[90],"that":[91],"proposed":[93],"method":[94],"yields":[95],"consistent":[97],"efficient":[99],"estimate.":[100]},"counts_by_year":[],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}
