{"id":"https://openalex.org/W2153995753","doi":"https://doi.org/10.1109/lsp.2014.2363464","title":"Application-Oriented Estimator Selection","display_name":"Application-Oriented Estimator Selection","publication_year":2014,"publication_date":"2014-10-16","ids":{"openalex":"https://openalex.org/W2153995753","doi":"https://doi.org/10.1109/lsp.2014.2363464","mag":"2153995753"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2014.2363464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2014.2363464","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-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/A5033667806","display_name":"Dimitrios Katselis","orcid":"https://orcid.org/0000-0001-7625-3360"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dimitrios Katselis","raw_affiliation_strings":["Industrial and Enterprise Systems Engineering Department, University of Illinois at Urbana-Champaign, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"Industrial and Enterprise Systems Engineering Department, University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057105677","display_name":"Cristian R. Rojas","orcid":"https://orcid.org/0000-0003-0355-2663"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Cristian R. Rojas","raw_affiliation_strings":["ACCESS Linnaeus Center, KTH Royal Institute of Technology, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"ACCESS Linnaeus Center, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5033667806"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19000426,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":"4","first_page":"489","last_page":"493"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9991000294685364,"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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7852983474731445},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6857951283454895},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5941244959831238},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5111179947853088},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4682392179965973},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.4457646608352661},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4397125840187073},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4352518320083618},{"id":"https://openalex.org/keywords/performance-metric","display_name":"Performance metric","score":0.4329667091369629},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4284393787384033},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37324827909469604},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3687290847301483},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30462703108787537},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2384282648563385},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09497031569480896}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7852983474731445},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6857951283454895},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5941244959831238},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5111179947853088},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4682392179965973},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.4457646608352661},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4397125840187073},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4352518320083618},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.4329667091369629},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4284393787384033},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37324827909469604},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3687290847301483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30462703108787537},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2384282648563385},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09497031569480896},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2014.2363464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2014.2363464","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1525535255","https://openalex.org/W1584444527","https://openalex.org/W1598266570","https://openalex.org/W1966541311","https://openalex.org/W1986167652","https://openalex.org/W1990032845","https://openalex.org/W2018691083","https://openalex.org/W2025852341","https://openalex.org/W2075849089","https://openalex.org/W2086760764","https://openalex.org/W2111122268","https://openalex.org/W2113512462","https://openalex.org/W2124293649","https://openalex.org/W2139341823","https://openalex.org/W2141366670","https://openalex.org/W2144351691","https://openalex.org/W3103961368","https://openalex.org/W6634927326","https://openalex.org/W6635777585","https://openalex.org/W6669729833","https://openalex.org/W6680810529"],"related_works":["https://openalex.org/W4361804730","https://openalex.org/W2142113611","https://openalex.org/W2334467465","https://openalex.org/W2018387840","https://openalex.org/W2087870008","https://openalex.org/W2045629210","https://openalex.org/W2162534555","https://openalex.org/W2752178021","https://openalex.org/W2143024819","https://openalex.org/W2964201926"],"abstract_inverted_index":{"Designing":[0],"the":[1,5,14,26,39,48,51,55,66,85,94],"optimal":[2],"experiment":[3,40],"for":[4],"recovery":[6],"of":[7,18,50,104],"an":[8,100],"unknown":[9],"system":[10,27],"with":[11,41,97],"respect":[12,42,98],"to":[13,33,37,43,69,99],"end":[15,35,101],"performance":[16,36,102],"metric":[17,46,103],"interest":[19],"is":[20,59],"a":[21,71,77,108],"recently":[22],"established":[23],"practice":[24,31],"in":[25],"identification":[28],"literature.":[29],"This":[30,58],"leads":[32],"superior":[34],"designing":[38],"some":[44],"generic":[45],"quantifying":[47],"distance":[49],"estimated":[52],"model":[53],"from":[54],"true":[56],"one.":[57],"usually":[60],"done":[61],"by":[62],"choosing":[63],"and":[64],"fixing":[65],"estimation":[67],"method":[68],"either":[70],"standard":[72],"maximum":[73],"likelihood":[74],"(ML)":[75],"or":[76],"Bayesian":[78],"estimator.":[79],"In":[80],"this":[81,116],"paper,":[82],"we":[83,89,113],"pose":[84],"intuitive":[86],"question:":[87],"Can":[88],"design":[90],"better":[91],"estimators":[92],"than":[93],"usual":[95],"ones":[96],"interest?":[105],"Based":[106],"on":[107],"simple":[109],"linear":[110],"regression":[111],"example":[112],"affirmatively":[114],"answer":[115],"question.":[117]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}