{"id":"https://openalex.org/W2903078676","doi":"https://doi.org/10.23919/eusipco.2018.8553249","title":"Generalized Conditional Maximum Likelihood Estimators in the Large Sample Regime","display_name":"Generalized Conditional Maximum Likelihood Estimators in the Large Sample Regime","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2903078676","doi":"https://doi.org/10.23919/eusipco.2018.8553249","mag":"2903078676"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2018.8553249","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553249","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://centralesupelec.hal.science/hal-01895290","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051195246","display_name":"\u00c9ric Chaumette","orcid":"https://orcid.org/0000-0002-7029-3019"},"institutions":[{"id":"https://openalex.org/I193033237","display_name":"Institut Sup\u00e9rieur de l'A\u00e9ronautique et de l'Espace (ISAE-SUPAERO)","ror":"https://ror.org/04gyj6s21","country_code":"FR","type":"education","lineage":["https://openalex.org/I193033237"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Eric Chaumette","raw_affiliation_strings":["Univ. of Toulouse/ISAE-Supaero, France","ISAE-SUPAERO - Institut Sup\u00e9rieur de l'A\u00e9ronautique et de l'Espace (ISAE - 10 av. Edouard Belin - BP 54032 - 31055 TOULOUSE Cedex 4 - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Toulouse/ISAE-Supaero, France","institution_ids":[]},{"raw_affiliation_string":"ISAE-SUPAERO - Institut Sup\u00e9rieur de l'A\u00e9ronautique et de l'Espace (ISAE - 10 av. Edouard Belin - BP 54032 - 31055 TOULOUSE Cedex 4 - France)","institution_ids":["https://openalex.org/I193033237"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103066847","display_name":"Fran\u00e7ois Vincent","orcid":"https://orcid.org/0000-0002-7774-5428"},"institutions":[{"id":"https://openalex.org/I193033237","display_name":"Institut Sup\u00e9rieur de l'A\u00e9ronautique et de l'Espace (ISAE-SUPAERO)","ror":"https://ror.org/04gyj6s21","country_code":"FR","type":"education","lineage":["https://openalex.org/I193033237"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Francois Vincent","raw_affiliation_strings":["Univ. of Toulouse/ISAE-Supaero, France","ISAE-SUPAERO - Institut Sup\u00e9rieur de l'A\u00e9ronautique et de l'Espace (ISAE - 10 av. Edouard Belin - BP 54032 - 31055 TOULOUSE Cedex 4 - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Toulouse/ISAE-Supaero, France","institution_ids":[]},{"raw_affiliation_string":"ISAE-SUPAERO - Institut Sup\u00e9rieur de l'A\u00e9ronautique et de l'Espace (ISAE - 10 av. Edouard Belin - BP 54032 - 31055 TOULOUSE Cedex 4 - France)","institution_ids":["https://openalex.org/I193033237"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044736586","display_name":"Alexandre Renaux","orcid":"https://orcid.org/0000-0003-3413-1765"},"institutions":[{"id":"https://openalex.org/I102197404","display_name":"Universit\u00e9 Paris-Sud","ror":"https://ror.org/028rypz17","country_code":"FR","type":"education","lineage":["https://openalex.org/I102197404"]},{"id":"https://openalex.org/I4210097418","display_name":"Laboratoire des signaux et syst\u00e8mes","ror":"https://ror.org/00skw9v43","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I277688954","https://openalex.org/I277688954","https://openalex.org/I4210097418","https://openalex.org/I4210107720"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Alexandre Renaux","raw_affiliation_strings":["Univ. of Paris-Sud/LSS, France","L2S - Laboratoire des signaux et syst\u00e8mes (Plateau de Moulon 3 rue Joliot Curie 91192 GIF SUR YVETTE CEDEX - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Paris-Sud/LSS, France","institution_ids":["https://openalex.org/I102197404"]},{"raw_affiliation_string":"L2S - Laboratoire des signaux et syst\u00e8mes (Plateau de Moulon 3 rue Joliot Curie 91192 GIF SUR YVETTE CEDEX - France)","institution_ids":["https://openalex.org/I4210097418"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019667083","display_name":"J\u00e9r\u00f4me Galy","orcid":null},"institutions":[{"id":"https://openalex.org/I19894307","display_name":"Universit\u00e9 de Montpellier","ror":"https://ror.org/051escj72","country_code":"FR","type":"education","lineage":["https://openalex.org/I19894307"]},{"id":"https://openalex.org/I4210101743","display_name":"Laboratoire d'Informatique, de Robotique et de Micro\u00e9lectronique de Montpellier","ror":"https://ror.org/013yean28","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I151295451","https://openalex.org/I19894307","https://openalex.org/I4210101743","https://openalex.org/I4210159245","https://openalex.org/I4405261681"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jerome Galy","raw_affiliation_strings":["Univ. of Montpellier 2/LIRMM, France","LIRMM - Laboratoire d'Informatique de Robotique et de Micro\u00e9lectronique de Montpellier (161 rue Ada - 34095 Montpellier - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Montpellier 2/LIRMM, France","institution_ids":["https://openalex.org/I19894307","https://openalex.org/I4210101743"]},{"raw_affiliation_string":"LIRMM - Laboratoire d'Informatique de Robotique et de Micro\u00e9lectronique de Montpellier (161 rue Ada - 34095 Montpellier - France)","institution_ids":["https://openalex.org/I4210101743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"271","last_page":"275"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9998999834060669,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T11946","display_name":"Antenna Design and Optimization","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/estimator","display_name":"Estimator","score":0.7568268775939941},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.6333462595939636},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.6064647436141968},{"id":"https://openalex.org/keywords/conditional-expectation","display_name":"Conditional expectation","score":0.5672358274459839},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5622018575668335},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5517501831054688},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5373759269714355},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5163046717643738},{"id":"https://openalex.org/keywords/conditional-variance","display_name":"Conditional variance","score":0.4826646149158478},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.46379122138023376},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4353582561016083},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.42492204904556274},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4122988283634186},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3829737901687622},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.36670756340026855},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.26311057806015015},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16167590022087097},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.14712494611740112}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7568268775939941},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.6333462595939636},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6064647436141968},{"id":"https://openalex.org/C186215838","wikidata":"https://www.wikidata.org/wiki/Q772232","display_name":"Conditional expectation","level":2,"score":0.5672358274459839},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5622018575668335},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5517501831054688},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5373759269714355},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5163046717643738},{"id":"https://openalex.org/C21430997","wikidata":"https://www.wikidata.org/wiki/Q5159279","display_name":"Conditional variance","level":4,"score":0.4826646149158478},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.46379122138023376},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4353582561016083},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.42492204904556274},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4122988283634186},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3829737901687622},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.36670756340026855},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.26311057806015015},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16167590022087097},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.14712494611740112},{"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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C91602232","wikidata":"https://www.wikidata.org/wiki/Q756115","display_name":"Volatility (finance)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C23922673","wikidata":"https://www.wikidata.org/wiki/Q180752","display_name":"Autoregressive conditional heteroskedasticity","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/eusipco.2018.8553249","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553249","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01895290v1","is_oa":true,"landing_page_url":"https://centralesupelec.hal.science/hal-01895290","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":"EUSIPCO 2018 - 26th European Signal Processing Conference, Sep 2018, Rome, Italy. ⟨10.23919/eusipco.2018.8553249⟩","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01895290v1","is_oa":true,"landing_page_url":"https://centralesupelec.hal.science/hal-01895290","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":"EUSIPCO 2018 - 26th European Signal Processing Conference, Sep 2018, Rome, Italy. ⟨10.23919/eusipco.2018.8553249⟩","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W653761051","https://openalex.org/W1538882755","https://openalex.org/W1578953027","https://openalex.org/W1589236794","https://openalex.org/W1603631609","https://openalex.org/W1966296345","https://openalex.org/W2116414176","https://openalex.org/W2481902968","https://openalex.org/W2790374560","https://openalex.org/W2902430989","https://openalex.org/W4211251910","https://openalex.org/W4244753254"],"related_works":["https://openalex.org/W134967181","https://openalex.org/W3122555292","https://openalex.org/W2886934452","https://openalex.org/W1489099099","https://openalex.org/W2024369332","https://openalex.org/W2082591001","https://openalex.org/W2365160220","https://openalex.org/W2017329423","https://openalex.org/W2130027097","https://openalex.org/W2093581803"],"abstract_inverted_index":{"In":[0,78],"modern":[1],"array":[2],"processing":[3],"or":[4,46],"spectral":[5],"analysis,":[6],"mostly":[7],"two":[8],"different":[9],"signal":[10,16,22,26,32,67,84],"models":[11,27],"are":[12,28,35],"considered:":[13],"the":[14,20,31,39,43,48,52,58,79,83,91,95,104,124,138,145,154,158,169,180],"conditional":[15,44,107],"model":[17],"(CSM)":[18],"and":[19,30,94],"unconditional":[21,53],"model.":[23],"The":[24],"discussed":[25],"Gaussian":[29,73],"sources":[33,68,85],"parameters":[34,86],"connected":[36,88],"either":[37],"with":[38,47,89],"expectation":[40,92],"value":[41,93],"in":[42,51,123,168,179],"case":[45],"covariance":[49,96],"matrix":[50],"one.":[54],"We":[55],"focus":[56],"on":[57,164],"CSM":[59],"resulting":[60],"from":[61],"several":[62],"observations":[63,148],"of":[64,103,121,137,147,160],"partially":[65,161],"coherent":[66,162],"whose":[69],"amplitudes":[70,163],"undergo":[71],"a":[72,129,134],"random":[74],"walk":[75],"between":[76],"observations.":[77],"proposed":[80],"generalized":[81,106],"CSM,":[82],"become":[87],"both":[90],"matrix.":[97],"Even":[98],"though":[99],"an":[100],"analytical":[101],"expression":[102],"associated":[105],"maximum":[108],"likelihood":[109],"estimators":[110],"(GCM-LEs)":[111],"can":[112],"be":[113],"easily":[114],"exhibited,":[115],"it":[116],"does":[117],"not":[118],"allow":[119],"computation":[120,143],"GCMLEs":[122,139,165],"large":[125,170,181],"sample":[126,171,182],"regime.":[127,172,183],"As":[128],"main":[130],"contribution,":[131],"we":[132,174],"introduce":[133],"recursive":[135,151],"form":[136,152],"which":[140],"allows":[141],"their":[142],"whatever":[144],"number":[146],"combined.":[149],"This":[150],"paves":[153],"way":[155],"to":[156],"assess":[157],"effect":[159],"mean-squared":[166],"error":[167],"Interestingly,":[173],"exhibit":[175],"non":[176],"consistent":[177],"GMLEs":[178]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2018-12-11T00:00:00"}