{"id":"https://openalex.org/W3036366057","doi":"https://doi.org/10.1007/s00180-020-01004-z","title":"An accelerated EM algorithm for mixture models with uncertainty for rating data","display_name":"An accelerated EM algorithm for mixture models with uncertainty for rating data","publication_year":2020,"publication_date":"2020-06-22","ids":{"openalex":"https://openalex.org/W3036366057","doi":"https://doi.org/10.1007/s00180-020-01004-z","mag":"3036366057"},"language":"en","primary_location":{"id":"doi:10.1007/s00180-020-01004-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00180-020-01004-z","pdf_url":null,"source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"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":"Computational Statistics","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/A5004895930","display_name":"Rosaria Simone","orcid":"https://orcid.org/0000-0002-6844-6418"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Rosaria Simone","raw_affiliation_strings":["Department of Political Sciences, University of Naples Federico II, Via Leopoldo Rodin\u00f2, 22, 80138, Napoli, Italy"],"raw_orcid":"https://orcid.org/0000-0002-6844-6418","affiliations":[{"raw_affiliation_string":"Department of Political Sciences, University of Naples Federico II, Via Leopoldo Rodin\u00f2, 22, 80138, Napoli, Italy","institution_ids":["https://openalex.org/I71267560"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5004895930"],"corresponding_institution_ids":["https://openalex.org/I71267560"],"apc_list":{"value":2490,"currency":"EUR","value_usd":3090},"apc_paid":null,"fwci":0.8154,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.78949237,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"36","issue":"1","first_page":"691","last_page":"714"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9984999895095825,"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":0.9984999895095825,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9850000143051147,"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/T12135","display_name":"Fuzzy Systems and Optimization","score":0.9836000204086304,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5839866995811462},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5774718523025513},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.5476753115653992},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5450537204742432},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.5354685187339783},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5126122832298279},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.463032603263855},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.46005576848983765},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.4583300054073334},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.4420608580112457},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.4348296821117401},{"id":"https://openalex.org/keywords/scoring-algorithm","display_name":"Scoring algorithm","score":0.4339311122894287},{"id":"https://openalex.org/keywords/information-criteria","display_name":"Information Criteria","score":0.4300157427787781},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3960123062133789},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3660343289375305},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3445127606391907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3239665627479553},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2512083351612091}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5839866995811462},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5774718523025513},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.5476753115653992},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5450537204742432},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.5354685187339783},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5126122832298279},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.463032603263855},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.46005576848983765},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.4583300054073334},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.4420608580112457},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.4348296821117401},{"id":"https://openalex.org/C83282275","wikidata":"https://www.wikidata.org/wiki/Q7435350","display_name":"Scoring algorithm","level":2,"score":0.4339311122894287},{"id":"https://openalex.org/C2776709221","wikidata":"https://www.wikidata.org/wiki/Q6031040","display_name":"Information Criteria","level":3,"score":0.4300157427787781},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3960123062133789},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3660343289375305},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3445127606391907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3239665627479553},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2512083351612091},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s00180-020-01004-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00180-020-01004-z","pdf_url":null,"source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"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":"Computational Statistics","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:compst:v:36:y:2021:i:1:d:10.1007_s00180-020-01004-z","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s00180-020-01004-z","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W95641544","https://openalex.org/W214995755","https://openalex.org/W599482115","https://openalex.org/W1506602547","https://openalex.org/W1524403460","https://openalex.org/W1540596182","https://openalex.org/W1982882480","https://openalex.org/W1994672023","https://openalex.org/W1998487261","https://openalex.org/W1999019492","https://openalex.org/W2009435671","https://openalex.org/W2018277595","https://openalex.org/W2025387681","https://openalex.org/W2028324177","https://openalex.org/W2029761439","https://openalex.org/W2046738186","https://openalex.org/W2047311632","https://openalex.org/W2049328185","https://openalex.org/W2049500688","https://openalex.org/W2049633694","https://openalex.org/W2053928434","https://openalex.org/W2061367177","https://openalex.org/W2070337513","https://openalex.org/W2083838062","https://openalex.org/W2135046866","https://openalex.org/W2155802349","https://openalex.org/W2269188028","https://openalex.org/W2318032547","https://openalex.org/W2321821268","https://openalex.org/W2462950996","https://openalex.org/W2464332954","https://openalex.org/W2480455979","https://openalex.org/W2502902126","https://openalex.org/W2761458806","https://openalex.org/W2800553466","https://openalex.org/W2809666375","https://openalex.org/W2895541897","https://openalex.org/W2910251806","https://openalex.org/W2915115862","https://openalex.org/W2937095991","https://openalex.org/W2943669451","https://openalex.org/W2944691719","https://openalex.org/W2952558372","https://openalex.org/W2954309742","https://openalex.org/W4298401804"],"related_works":["https://openalex.org/W2473373438","https://openalex.org/W2368486525","https://openalex.org/W2077224612","https://openalex.org/W84255947","https://openalex.org/W2153481672","https://openalex.org/W4312864369","https://openalex.org/W4300938740","https://openalex.org/W2014842417","https://openalex.org/W2891133681","https://openalex.org/W1853799209"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}