{"id":"https://openalex.org/W2021240844","doi":"https://doi.org/10.1007/s00357-012-9111-6","title":"Mixtures of Autoregressions with an Improper Component for Panel Data","display_name":"Mixtures of Autoregressions with an Improper Component for Panel Data","publication_year":2012,"publication_date":"2012-07-13","ids":{"openalex":"https://openalex.org/W2021240844","doi":"https://doi.org/10.1007/s00357-012-9111-6","mag":"2021240844"},"language":"en","primary_location":{"id":"doi:10.1007/s00357-012-9111-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00357-012-9111-6","pdf_url":null,"source":{"id":"https://openalex.org/S73028643","display_name":"Journal of Classification","issn_l":"0176-4268","issn":["0176-4268","1432-1343"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Classification","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/A5046764771","display_name":"Nicholas T. Longford","orcid":null},"institutions":[{"id":"https://openalex.org/I170486558","display_name":"Pompeu Fabra University","ror":"https://ror.org/04n0g0b29","country_code":"ES","type":"education","lineage":["https://openalex.org/I170486558"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Nicholas T. Longford","raw_affiliation_strings":["Departament d\u2019Economia i Empresa, SNTL and University Pompeu Fabra, Ramon Trias Fargas 25-27, 08005, Barcelona, Spain","SNTL and University Pompeu Fabra"],"affiliations":[{"raw_affiliation_string":"Departament d\u2019Economia i Empresa, SNTL and University Pompeu Fabra, Ramon Trias Fargas 25-27, 08005, Barcelona, Spain","institution_ids":["https://openalex.org/I170486558"]},{"raw_affiliation_string":"SNTL and University Pompeu Fabra","institution_ids":["https://openalex.org/I170486558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088235131","display_name":"Pierpaolo D\u2019Urso","orcid":"https://orcid.org/0000-0002-7406-6411"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Pierpaolo D\u2019Urso","raw_affiliation_strings":["Sapienza University, Rome, Italy","Sapienza University"],"affiliations":[{"raw_affiliation_string":"Sapienza University, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]},{"raw_affiliation_string":"Sapienza University","institution_ids":["https://openalex.org/I861853513"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5046764771"],"corresponding_institution_ids":["https://openalex.org/I170486558"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.4457,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.72094143,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"29","issue":"3","first_page":"341","last_page":"362"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10136","display_name":"Statistical Methods and Inference","score":0.986299991607666,"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/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9670000076293945,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.791919469833374},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.7811551094055176},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7549011707305908},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.6511633396148682},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.6112316846847534},{"id":"https://openalex.org/keywords/panel-data","display_name":"Panel data","score":0.5138502717018127},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4958525598049164},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4261147379875183},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.42267799377441406},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.36505407094955444},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.363012433052063},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3460426330566406},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.1364801824092865},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.07351425290107727}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.791919469833374},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.7811551094055176},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7549011707305908},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6511633396148682},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.6112316846847534},{"id":"https://openalex.org/C6422946","wikidata":"https://www.wikidata.org/wiki/Q857354","display_name":"Panel data","level":2,"score":0.5138502717018127},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4958525598049164},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4261147379875183},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.42267799377441406},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.36505407094955444},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.363012433052063},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3460426330566406},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.1364801824092865},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.07351425290107727},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s00357-012-9111-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00357-012-9111-6","pdf_url":null,"source":{"id":"https://openalex.org/S73028643","display_name":"Journal of Classification","issn_l":"0176-4268","issn":["0176-4268","1432-1343"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Classification","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:jclass:v:29:y:2012:i:3:p:341-362","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1007/s00357-012-9111-6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:iris.uniroma1.it:11573/449269","is_oa":false,"landing_page_url":"http://hdl.handle.net/11573/449269","pdf_url":null,"source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W71547456","https://openalex.org/W1543566210","https://openalex.org/W1579271636","https://openalex.org/W1783652893","https://openalex.org/W1800875971","https://openalex.org/W1988142021","https://openalex.org/W1998487261","https://openalex.org/W2011832962","https://openalex.org/W2013818211","https://openalex.org/W2024476015","https://openalex.org/W2036947844","https://openalex.org/W2037638851","https://openalex.org/W2038885294","https://openalex.org/W2044758663","https://openalex.org/W2049633694","https://openalex.org/W2082503527","https://openalex.org/W2096878708","https://openalex.org/W2118502261","https://openalex.org/W2126455177","https://openalex.org/W2152977846","https://openalex.org/W2161910681","https://openalex.org/W2480680997","https://openalex.org/W2488678869","https://openalex.org/W2492049698","https://openalex.org/W2582743722","https://openalex.org/W3015637930","https://openalex.org/W3122865318","https://openalex.org/W4238253035","https://openalex.org/W4285719527","https://openalex.org/W6638258359"],"related_works":["https://openalex.org/W2171218219","https://openalex.org/W2150410159","https://openalex.org/W1972271943","https://openalex.org/W4287880334","https://openalex.org/W3006513224","https://openalex.org/W4366700029","https://openalex.org/W3150905897","https://openalex.org/W2046456988","https://openalex.org/W4210897550","https://openalex.org/W2063207649"],"abstract_inverted_index":null,"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
