{"id":"https://openalex.org/W4383265345","doi":"https://doi.org/10.1007/s11222-023-10266-8","title":"Efficient and accurate inference for mixtures of Mallows models with Spearman distance","display_name":"Efficient and accurate inference for mixtures of Mallows models with Spearman distance","publication_year":2023,"publication_date":"2023-07-05","ids":{"openalex":"https://openalex.org/W4383265345","doi":"https://doi.org/10.1007/s11222-023-10266-8"},"language":"en","primary_location":{"id":"doi:10.1007/s11222-023-10266-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-023-10266-8","pdf_url":null,"source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"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":"Statistics and Computing","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/A5061402879","display_name":"Marta Crispino","orcid":"https://orcid.org/0000-0002-1818-1298"},"institutions":[{"id":"https://openalex.org/I103737770","display_name":"Bank of Italy","ror":"https://ror.org/03v2nbx43","country_code":"IT","type":"funder","lineage":["https://openalex.org/I103737770"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marta Crispino","raw_affiliation_strings":["DG of Economics, Statistics and Research, Bank of Italy, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"DG of Economics, Statistics and Research, Bank of Italy, Rome, Italy","institution_ids":["https://openalex.org/I103737770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057767094","display_name":"Cristina Mollica","orcid":"https://orcid.org/0000-0001-9152-6021"},"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":true,"raw_author_name":"Cristina Mollica","raw_affiliation_strings":["Department of Statistical Sciences, Sapienza University of Rome, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Statistical Sciences, Sapienza University of Rome, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050044187","display_name":"Valerio Astuti","orcid":"https://orcid.org/0000-0002-8322-1006"},"institutions":[{"id":"https://openalex.org/I103737770","display_name":"Bank of Italy","ror":"https://ror.org/03v2nbx43","country_code":"IT","type":"funder","lineage":["https://openalex.org/I103737770"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Valerio Astuti","raw_affiliation_strings":["DG of Economics, Statistics and Research, Bank of Italy, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"DG of Economics, Statistics and Research, Bank of Italy, Rome, Italy","institution_ids":["https://openalex.org/I103737770"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066536122","display_name":"Luca Tardella","orcid":"https://orcid.org/0000-0002-5703-3909"},"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":"Luca Tardella","raw_affiliation_strings":["Department of Statistical Sciences, Sapienza University of Rome, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Statistical Sciences, Sapienza University of Rome, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5057767094"],"corresponding_institution_ids":["https://openalex.org/I861853513"],"apc_list":{"value":2090,"currency":"EUR","value_usd":2690},"apc_paid":null,"fwci":4.046,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.94554604,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"33","issue":"5","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10991","display_name":"Game Theory and Voting Systems","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10991","display_name":"Game Theory and Voting Systems","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9932000041007996,"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/T10841","display_name":"Economic and Environmental Valuation","score":0.9840999841690063,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7636290788650513},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6260058283805847},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.4863012731075287},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.466399610042572},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4622046947479248},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45735374093055725},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4528452157974243},{"id":"https://openalex.org/keywords/hamming-distance","display_name":"Hamming distance","score":0.4427621364593506},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.413488507270813},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39728856086730957},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3889031410217285},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3712748885154724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36015844345092773},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3020656704902649}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7636290788650513},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6260058283805847},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.4863012731075287},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.466399610042572},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4622046947479248},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45735374093055725},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4528452157974243},{"id":"https://openalex.org/C193319292","wikidata":"https://www.wikidata.org/wiki/Q272172","display_name":"Hamming distance","level":2,"score":0.4427621364593506},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.413488507270813},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39728856086730957},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3889031410217285},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3712748885154724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36015844345092773},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3020656704902649},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s11222-023-10266-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-023-10266-8","pdf_url":null,"source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"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":"Statistics and Computing","raw_type":"journal-article"},{"id":"pmh:oai:iris.uniroma1.it:11573/1684686","is_oa":false,"landing_page_url":"https://hdl.handle.net/11573/1684686","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":"Peace, Justice and strong institutions","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W55702754","https://openalex.org/W139107470","https://openalex.org/W147242379","https://openalex.org/W199890048","https://openalex.org/W646847456","https://openalex.org/W993824570","https://openalex.org/W1511376624","https://openalex.org/W1528493411","https://openalex.org/W1596709027","https://openalex.org/W1727290854","https://openalex.org/W1796291957","https://openalex.org/W1964930641","https://openalex.org/W1970111697","https://openalex.org/W1971005895","https://openalex.org/W2001083253","https://openalex.org/W2003296459","https://openalex.org/W2018505199","https://openalex.org/W2028664571","https://openalex.org/W2048957655","https://openalex.org/W2049633694","https://openalex.org/W2049689417","https://openalex.org/W2071601825","https://openalex.org/W2080085082","https://openalex.org/W2081714563","https://openalex.org/W2091860746","https://openalex.org/W2125280835","https://openalex.org/W2150735632","https://openalex.org/W2157033209","https://openalex.org/W2168175751","https://openalex.org/W2183444842","https://openalex.org/W2299232349","https://openalex.org/W2314354167","https://openalex.org/W2495505314","https://openalex.org/W2506867030","https://openalex.org/W2802553787","https://openalex.org/W2921082510","https://openalex.org/W2964139431","https://openalex.org/W2964558573","https://openalex.org/W2968379181","https://openalex.org/W3098280172","https://openalex.org/W3099508828","https://openalex.org/W3100622648","https://openalex.org/W3110570242","https://openalex.org/W3180610268","https://openalex.org/W4254749579","https://openalex.org/W6830558768"],"related_works":["https://openalex.org/W2188500270","https://openalex.org/W2303858293","https://openalex.org/W2055243143","https://openalex.org/W2915512527","https://openalex.org/W2798198862","https://openalex.org/W137830373","https://openalex.org/W3000984192","https://openalex.org/W4286952477","https://openalex.org/W4321348134","https://openalex.org/W2103073163"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3}],"updated_date":"2026-01-25T23:04:38.658462","created_date":"2025-10-10T00:00:00"}
