{"id":"https://openalex.org/W1580740060","doi":"https://doi.org/10.23919/ecc.2001.7075992","title":"Recursive regression estimation: Strong consistency under dependent observations","display_name":"Recursive regression estimation: Strong consistency under dependent observations","publication_year":2001,"publication_date":"2001-09-01","ids":{"openalex":"https://openalex.org/W1580740060","doi":"https://doi.org/10.23919/ecc.2001.7075992","mag":"1580740060"},"language":"en","primary_location":{"id":"doi:10.23919/ecc.2001.7075992","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ecc.2001.7075992","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2001 European Control Conference (ECC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5105977681","display_name":"K.R. Chernyshov","orcid":"https://orcid.org/0000-0003-4637-6161"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"K.R. Chernyshov","raw_affiliation_strings":["Institute of Control Sciences 65 Profsoyuznaya, Moscow 117997, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Control Sciences 65 Profsoyuznaya, Moscow 117997, Russia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5105977681"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08686163,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"703","last_page":"707"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9991000294685364,"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":0.9991000294685364,"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"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.996399998664856,"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"}},{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.9929999709129333,"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/consistency","display_name":"Consistency (knowledge bases)","score":0.6554712653160095},{"id":"https://openalex.org/keywords/nonparametric-regression","display_name":"Nonparametric regression","score":0.5614815950393677},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5608152747154236},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5453119277954102},{"id":"https://openalex.org/keywords/conditional-independence","display_name":"Conditional independence","score":0.5391384363174438},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5360036492347717},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.5306711792945862},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.5303179621696472},{"id":"https://openalex.org/keywords/strong-consistency","display_name":"Strong consistency","score":0.5254946351051331},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5006256103515625},{"id":"https://openalex.org/keywords/kernel-regression","display_name":"Kernel regression","score":0.49704936146736145},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4869755208492279},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4646346867084503},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4471816122531891},{"id":"https://openalex.org/keywords/conditional-expectation","display_name":"Conditional expectation","score":0.42543017864227295},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.42491596937179565},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3635164499282837},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2524024248123169},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21663042902946472}],"concepts":[{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6554712653160095},{"id":"https://openalex.org/C74127309","wikidata":"https://www.wikidata.org/wiki/Q3455886","display_name":"Nonparametric regression","level":3,"score":0.5614815950393677},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5608152747154236},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5453119277954102},{"id":"https://openalex.org/C79772020","wikidata":"https://www.wikidata.org/wiki/Q5159264","display_name":"Conditional independence","level":2,"score":0.5391384363174438},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5360036492347717},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.5306711792945862},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.5303179621696472},{"id":"https://openalex.org/C31388003","wikidata":"https://www.wikidata.org/wiki/Q7624548","display_name":"Strong consistency","level":3,"score":0.5254946351051331},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5006256103515625},{"id":"https://openalex.org/C200695384","wikidata":"https://www.wikidata.org/wiki/Q1739319","display_name":"Kernel regression","level":3,"score":0.49704936146736145},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4869755208492279},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4646346867084503},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4471816122531891},{"id":"https://openalex.org/C186215838","wikidata":"https://www.wikidata.org/wiki/Q772232","display_name":"Conditional expectation","level":2,"score":0.42543017864227295},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.42491596937179565},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3635164499282837},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2524024248123169},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21663042902946472},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/ecc.2001.7075992","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ecc.2001.7075992","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2001 European Control Conference (ECC)","raw_type":"proceedings-article"}],"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/W91058509","https://openalex.org/W1966376270","https://openalex.org/W1971713783","https://openalex.org/W2005257544","https://openalex.org/W2007573203","https://openalex.org/W2025591531","https://openalex.org/W2045961682","https://openalex.org/W2052475440","https://openalex.org/W2052844175","https://openalex.org/W2073898607","https://openalex.org/W2087616677","https://openalex.org/W2155796958","https://openalex.org/W2156182013","https://openalex.org/W2211925278","https://openalex.org/W2347106526","https://openalex.org/W2989418518"],"related_works":["https://openalex.org/W2592465853","https://openalex.org/W4300178670","https://openalex.org/W2151924912","https://openalex.org/W1977532368","https://openalex.org/W1985258161","https://openalex.org/W2057032881","https://openalex.org/W2697282650","https://openalex.org/W3121786440","https://openalex.org/W2593516370","https://openalex.org/W2010419919"],"abstract_inverted_index":{"The":[0],"paper":[1,75],"is":[2,76],"devoted":[3],"to":[4,34,62,86],"establishing":[5],"strong":[6],"consistency":[7],"of":[8,10,13,21,29,72,80],"estimates":[9],"nonlinear":[11,42],"characteristics":[12],"dynamic":[14,117],"stochastic":[15],"systems.":[16],"To":[17],"describe":[18],"the":[19,22,41,50,63,67,69,73],"shape":[20],"nonlinearities,":[23],"regression":[24,43,92],"functions,":[25],"i.e.":[26],"conditional":[27],"expectations":[28],"a":[30,78],"variable":[31],"with":[32,60],"respect":[33,61],"another":[35],"one,":[36],"are":[37,45,54,112],"used.":[38],"In":[39],"turn,":[40],"functions":[44],"estimated":[46],"by":[47],"algorithms":[48],"using":[49],"kernel-type":[51],"approaches,":[52],"which":[53,94],"suitable":[55],"under":[56],"fairly":[57],"mild":[58],"assumptions":[59,111],"system":[64,118],"description.":[65],"Within":[66],"approach,":[68],"key":[70],"issue":[71],"present":[74],"considering":[77],"case":[79],"mutually":[81],"dependent":[82],"observations":[83],"in":[84],"contrast":[85],"conventional":[87],"nonparametric":[88],"approaches":[89],"based":[90],"on":[91,99],"estimates,":[93],"impose":[95],"rather":[96],"restrictive":[97],"limitations":[98],"sampled":[100],"data,":[101],"e.g.":[102],"mutual":[103],"independence,":[104],"various":[105],"mixing":[106],"conditions,":[107],"etc.,":[108],"while":[109],"such":[110],"not":[113],"always":[114],"acceptable":[115],"within":[116],"considerations.":[119]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}