{"id":"https://openalex.org/W3043196879","doi":"https://doi.org/10.3103/s0146411620030049","title":"A New Technique of Invariant Statistical Embedding and Averaging Via Pivotal Quantities for Intelligent Constructing Efficient Statistical Decisions under Parametric Uncertainty","display_name":"A New Technique of Invariant Statistical Embedding and Averaging Via Pivotal Quantities for Intelligent Constructing Efficient Statistical Decisions under Parametric Uncertainty","publication_year":2020,"publication_date":"2020-05-01","ids":{"openalex":"https://openalex.org/W3043196879","doi":"https://doi.org/10.3103/s0146411620030049","mag":"3043196879"},"language":"en","primary_location":{"id":"doi:10.3103/s0146411620030049","is_oa":false,"landing_page_url":"https://doi.org/10.3103/s0146411620030049","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","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/A5075186748","display_name":"Nicholas A. Nechval","orcid":"https://orcid.org/0000-0002-2234-8230"},"institutions":[{"id":"https://openalex.org/I91123046","display_name":"University of Latvia","ror":"https://ror.org/05g3mes96","country_code":"LV","type":"education","lineage":["https://openalex.org/I91123046"]}],"countries":["LV"],"is_corresponding":true,"raw_author_name":"N. A. Nechval","raw_affiliation_strings":["BVEF Research Institute, University of Latvia, 1050, Riga, Latvia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BVEF Research Institute, University of Latvia, 1050, Riga, Latvia","institution_ids":["https://openalex.org/I91123046"]}]},{"author_position":"middle","author":{"id":null,"display_name":"G. Berzins","orcid":null},"institutions":[{"id":"https://openalex.org/I91123046","display_name":"University of Latvia","ror":"https://ror.org/05g3mes96","country_code":"LV","type":"education","lineage":["https://openalex.org/I91123046"]}],"countries":["LV"],"is_corresponding":false,"raw_author_name":"G. Berzins","raw_affiliation_strings":["BVEF Research Institute, University of Latvia, 1050, Riga, Latvia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BVEF Research Institute, University of Latvia, 1050, Riga, Latvia","institution_ids":["https://openalex.org/I91123046"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064436833","display_name":"Konstantin N. Nechval","orcid":"https://orcid.org/0009-0003-1876-5933"},"institutions":[{"id":"https://openalex.org/I24568809","display_name":"Transport and Telecommunication Institute","ror":"https://ror.org/01628w679","country_code":"LV","type":"education","lineage":["https://openalex.org/I24568809"]}],"countries":["LV"],"is_corresponding":false,"raw_author_name":"K. N. Nechval","raw_affiliation_strings":["Transport and Telecommunication Institute, 1019, Riga, Latvia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Transport and Telecommunication Institute, 1019, Riga, Latvia","institution_ids":["https://openalex.org/I24568809"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5075186748"],"corresponding_institution_ids":["https://openalex.org/I91123046"],"apc_list":null,"apc_paid":null,"fwci":2.2049,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.8933555,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"54","issue":"3","first_page":"191","last_page":"206"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9854000210762024,"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"}},{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/computer-science","display_name":"Computer science","score":0.6912464499473572},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6578385829925537},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5989425182342529},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5192780494689941},{"id":"https://openalex.org/keywords/constructive","display_name":"Constructive","score":0.46279478073120117},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4593740701675415},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.45234572887420654},{"id":"https://openalex.org/keywords/statistical-theory","display_name":"Statistical theory","score":0.4408954381942749},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.4294903576374054},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4159315228462219},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3307037949562073},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2833152711391449},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14302271604537964},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.07665619254112244}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6912464499473572},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6578385829925537},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5989425182342529},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5192780494689941},{"id":"https://openalex.org/C2778701210","wikidata":"https://www.wikidata.org/wiki/Q28130034","display_name":"Constructive","level":3,"score":0.46279478073120117},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4593740701675415},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.45234572887420654},{"id":"https://openalex.org/C48057537","wikidata":"https://www.wikidata.org/wiki/Q3551145","display_name":"Statistical theory","level":2,"score":0.4408954381942749},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.4294903576374054},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4159315228462219},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3307037949562073},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2833152711391449},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14302271604537964},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.07665619254112244},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3103/s0146411620030049","is_oa":false,"landing_page_url":"https://doi.org/10.3103/s0146411620030049","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","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":30,"referenced_works":["https://openalex.org/W13022817","https://openalex.org/W55676608","https://openalex.org/W431821928","https://openalex.org/W1575398052","https://openalex.org/W1973580100","https://openalex.org/W1997823124","https://openalex.org/W1998459545","https://openalex.org/W2024817131","https://openalex.org/W2041015216","https://openalex.org/W2058957163","https://openalex.org/W2060472015","https://openalex.org/W2063569457","https://openalex.org/W2122897173","https://openalex.org/W2188751824","https://openalex.org/W2279721067","https://openalex.org/W2343543415","https://openalex.org/W2498520162","https://openalex.org/W2579240251","https://openalex.org/W2755279204","https://openalex.org/W2768735944","https://openalex.org/W2883929610","https://openalex.org/W2911804094","https://openalex.org/W2924754085","https://openalex.org/W2953724304","https://openalex.org/W2963018549","https://openalex.org/W2971762869","https://openalex.org/W2999598591","https://openalex.org/W3012367266","https://openalex.org/W4234427264","https://openalex.org/W6866868338"],"related_works":["https://openalex.org/W2359049220","https://openalex.org/W2970045733","https://openalex.org/W2296507500","https://openalex.org/W4206224896","https://openalex.org/W2988555347","https://openalex.org/W179069106","https://openalex.org/W1997578814","https://openalex.org/W2482105717","https://openalex.org/W4232513139","https://openalex.org/W2423242616"],"abstract_inverted_index":{"Abstract":[0],"In":[1],"the":[2,55,59,66,69,84,93,106,111,124,131,138,146,162],"present":[3,132],"paper,":[4],"a":[5,15,46,90],"new":[6],"technique":[7,44,70,139,164],"of":[8,11,58,71,83,86,95,123,130,140,149,154,165],"invariant":[9,72],"embedding":[10,74],"sample":[12],"statistics":[13],"in":[14,62,92,145],"decision":[16,114,126],"criterion":[17,23],"(performance":[18],"index)":[19],"and":[20,48,75,88,108],"averaging":[21,76],"this":[22],"via":[24,77],"pivotal":[25,78],"quantities":[26,79],"is":[27,81,134],"proposed":[28,163],"for":[29],"intelligent":[30],"constructing":[31],"efficient":[32,112],"(optimal,":[33],"uniformly":[34],"non-dominated,":[35],"unbiased,":[36],"improved)":[37],"statistical":[38,51,73,96,113,155],"decisions":[39,156],"under":[40,157],"parametric":[41,158],"uncertainty.":[42,159],"This":[43],"represents":[45,89],"simple":[47],"computationally":[49],"attractive":[50],"method":[52],"based":[53],"on":[54],"constructive":[56],"use":[57],"invariance":[60],"principle":[61],"mathematical":[63],"statistics.":[64],"Unlike":[65],"Bayesian":[67],"approach,":[68],"(ISE&APQ)":[80],"independent":[82],"choice":[85],"priors":[87],"novelty":[91],"theory":[94],"decisions.":[97],"It":[98],"allows":[99],"one":[100],"to":[101,109,135],"eliminate":[102],"unknown":[103],"parameters":[104],"from":[105],"problem":[107],"find":[110],"rules,":[115],"which":[116],"often":[117],"have":[118],"smaller":[119],"risk":[120],"than":[121],"any":[122],"well-known":[125],"rules.":[127],"The":[128],"aim":[129],"paper":[133],"show":[136],"how":[137],"ISE&APQ":[141],"may":[142],"be":[143],"employed":[144],"particular":[147],"case":[148],"optimization,":[150],"estimation,":[151],"or":[152],"improvement":[153],"To":[160],"illustrate":[161],"ISE&APQ,":[166],"application":[167],"examples":[168],"are":[169],"given.":[170]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}
