{"id":"https://openalex.org/W2802327127","doi":"https://doi.org/10.3233/mas-180427","title":"Interval forecast for model averaging methods","display_name":"Interval forecast for model averaging methods","publication_year":2018,"publication_date":"2018-05-09","ids":{"openalex":"https://openalex.org/W2802327127","doi":"https://doi.org/10.3233/mas-180427","mag":"2802327127"},"language":"en","primary_location":{"id":"doi:10.3233/mas-180427","is_oa":false,"landing_page_url":"https://doi.org/10.3233/mas-180427","pdf_url":null,"source":{"id":"https://openalex.org/S2765066696","display_name":"Model Assisted Statistics and Applications","issn_l":"1574-1699","issn":["1574-1699","1875-9068"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Model Assisted Statistics and Applications","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/A5017289896","display_name":"Nikita Moiseev","orcid":"https://orcid.org/0000-0002-5632-0404"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Nikita A. Moiseev","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Aleksander S. Sorokin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aleksander S. Sorokin","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5017289896"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4377,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.90298721,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"13","issue":"2","first_page":"161","last_page":"172"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9980999827384949,"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":0.9980999827384949,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.9922999739646912,"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"}},{"id":"https://openalex.org/T13487","display_name":"Statistical and numerical algorithms","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/degrees-of-freedom","display_name":"Degrees of freedom (physics and chemistry)","score":0.7512252330780029},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6380366086959839},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.5589190721511841},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5288328528404236},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5125143527984619},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.5040515661239624},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5020089149475098},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.49866771697998047},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.46885666251182556},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46316277980804443},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.4609025716781616},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4529877305030823},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.4519108235836029},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.43419933319091797},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40433770418167114},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.370156466960907}],"concepts":[{"id":"https://openalex.org/C208081375","wikidata":"https://www.wikidata.org/wiki/Q274502","display_name":"Degrees of freedom (physics and chemistry)","level":2,"score":0.7512252330780029},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6380366086959839},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.5589190721511841},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5288328528404236},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5125143527984619},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.5040515661239624},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5020089149475098},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.49866771697998047},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.46885666251182556},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46316277980804443},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4609025716781616},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4529877305030823},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.4519108235836029},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.43419933319091797},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40433770418167114},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.370156466960907},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","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},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/mas-180427","is_oa":false,"landing_page_url":"https://doi.org/10.3233/mas-180427","pdf_url":null,"source":{"id":"https://openalex.org/S2765066696","display_name":"Model Assisted Statistics and Applications","issn_l":"1574-1699","issn":["1574-1699","1875-9068"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Model Assisted Statistics and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W43353312","https://openalex.org/W1487620006","https://openalex.org/W1517600448","https://openalex.org/W1603903339","https://openalex.org/W1800261609","https://openalex.org/W1965873257","https://openalex.org/W1966054641","https://openalex.org/W1973335304","https://openalex.org/W1976604713","https://openalex.org/W1979523885","https://openalex.org/W1981049247","https://openalex.org/W1986528915","https://openalex.org/W1993387039","https://openalex.org/W1994331360","https://openalex.org/W1994672023","https://openalex.org/W2003103177","https://openalex.org/W2009435671","https://openalex.org/W2026590277","https://openalex.org/W2028147019","https://openalex.org/W2038074608","https://openalex.org/W2052025831","https://openalex.org/W2055301467","https://openalex.org/W2057331441","https://openalex.org/W2067838071","https://openalex.org/W2082080397","https://openalex.org/W2086403511","https://openalex.org/W2094597214","https://openalex.org/W2103358330","https://openalex.org/W2108731026","https://openalex.org/W2111292279","https://openalex.org/W2112341373","https://openalex.org/W2116480496","https://openalex.org/W2122196572","https://openalex.org/W2124221527","https://openalex.org/W2124709521","https://openalex.org/W2125251038","https://openalex.org/W2152933101","https://openalex.org/W2161020850","https://openalex.org/W2168175751","https://openalex.org/W2177791359","https://openalex.org/W2319041464","https://openalex.org/W2327938815","https://openalex.org/W2509512661","https://openalex.org/W2549828435","https://openalex.org/W2744498583","https://openalex.org/W2897129259","https://openalex.org/W3021601205","https://openalex.org/W3100088624","https://openalex.org/W3121315736","https://openalex.org/W3121321091","https://openalex.org/W3124139061","https://openalex.org/W3124636723","https://openalex.org/W3124798525","https://openalex.org/W3147070131","https://openalex.org/W4239414618","https://openalex.org/W4252386822","https://openalex.org/W4300988508","https://openalex.org/W6601730979","https://openalex.org/W6630078256","https://openalex.org/W6637144770","https://openalex.org/W6665272994","https://openalex.org/W6678185731","https://openalex.org/W6755923013","https://openalex.org/W7066037349"],"related_works":["https://openalex.org/W1995243476","https://openalex.org/W4300013288","https://openalex.org/W2951020105","https://openalex.org/W1489099099","https://openalex.org/W2886934452","https://openalex.org/W2326614066","https://openalex.org/W2159574290","https://openalex.org/W2024369332","https://openalex.org/W1974955043","https://openalex.org/W2242301815"],"abstract_inverted_index":{"This":[0],"paper":[1],"is":[2],"aimed":[3],"at":[4],"the":[5,10,14,21],"analysis":[6],"and":[7],"verification":[8],"of":[9,16,18,29],"formula":[11],"for":[12,20],"computing":[13],"number":[15],"degrees":[17],"freedom":[19],"combined":[22],"model":[23],"when":[24],"averaging":[25],"across":[26],"a":[27],"set":[28],"regression":[30],"models,":[31],"which":[32],"was":[33,39],"proposed":[34],"by":[35],"Moiseev":[36],"(2017)":[37],"but":[38],"not":[40],"thoroughly":[41],"an":[42]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
