{"id":"https://openalex.org/W4403502934","doi":"https://doi.org/10.1007/s11634-024-00609-2","title":"Robust Bayesian inference for the censored mixture of experts model using heavy-tailed distributions","display_name":"Robust Bayesian inference for the censored mixture of experts model using heavy-tailed distributions","publication_year":2024,"publication_date":"2024-10-17","ids":{"openalex":"https://openalex.org/W4403502934","doi":"https://doi.org/10.1007/s11634-024-00609-2"},"language":"en","primary_location":{"id":"doi:10.1007/s11634-024-00609-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11634-024-00609-2","pdf_url":null,"source":{"id":"https://openalex.org/S4210175730","display_name":"Advances in Data Analysis and Classification","issn_l":"1862-5347","issn":["1862-5347","1862-5355"],"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":"Advances in Data Analysis and 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/A5024143448","display_name":"Elham Mirfarah","orcid":"https://orcid.org/0000-0002-8495-5132"},"institutions":[{"id":"https://openalex.org/I16835326","display_name":"University of St Andrews","ror":"https://ror.org/02wn5qz54","country_code":"GB","type":"education","lineage":["https://openalex.org/I16835326"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Elham Mirfarah","raw_affiliation_strings":["School of Mathematics and Statistics, University of St Andrews, St Andrews, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, University of St Andrews, St Andrews, UK","institution_ids":["https://openalex.org/I16835326"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081643782","display_name":"Mehrdad Naderi","orcid":"https://orcid.org/0000-0001-8195-9050"},"institutions":[{"id":"https://openalex.org/I32394136","display_name":"Northumbria University","ror":"https://ror.org/049e6bc10","country_code":"GB","type":"education","lineage":["https://openalex.org/I32394136"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mehrdad Naderi","raw_affiliation_strings":["Applied Statistical Group, Department of Mathematics, Physics and Electrical Engineering, Northumbria University, Newcastle upon Tyne, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Applied Statistical Group, Department of Mathematics, Physics and Electrical Engineering, Northumbria University, Newcastle upon Tyne, UK","institution_ids":["https://openalex.org/I32394136"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001115779","display_name":"Tsung\u2010I Lin","orcid":"https://orcid.org/0000-0002-3992-1128"},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]},{"id":"https://openalex.org/I184693016","display_name":"China Medical University","ror":"https://ror.org/00v408z34","country_code":"TW","type":"education","lineage":["https://openalex.org/I184693016"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tsung-I Lin","raw_affiliation_strings":["Department of Public Health, China Medical University, Taichung, 404, Taiwan","Institute of Statistics, National Chung Hsing University, Taichung, 402, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Public Health, China Medical University, Taichung, 404, Taiwan","institution_ids":["https://openalex.org/I184693016"]},{"raw_affiliation_string":"Institute of Statistics, National Chung Hsing University, Taichung, 402, Taiwan","institution_ids":["https://openalex.org/I162838928"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079871884","display_name":"Wan\u2010Lun Wang","orcid":"https://orcid.org/0000-0002-0344-7954"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Wan-Lun Wang","raw_affiliation_strings":["Department of Statistics and Institute of Data Science, National Cheng Kung University, Tainan, 701, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics and Institute of Data Science, National Cheng Kung University, Tainan, 701, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5079871884"],"corresponding_institution_ids":["https://openalex.org/I91807558"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":1.5193,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.85751124,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"19","issue":"4","first_page":"921","last_page":"949"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9998999834060669,"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":0.9998999834060669,"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/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9991999864578247,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9911999702453613,"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/inference","display_name":"Inference","score":0.6589089035987854},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.6461504101753235},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5663965940475464},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.5019910335540771},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.4938424229621887},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4641493558883667},{"id":"https://openalex.org/keywords/frequentist-inference","display_name":"Frequentist inference","score":0.43333667516708374},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.411868155002594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31554439663887024},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29646921157836914}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6589089035987854},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.6461504101753235},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5663965940475464},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5019910335540771},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.4938424229621887},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4641493558883667},{"id":"https://openalex.org/C162376815","wikidata":"https://www.wikidata.org/wiki/Q2158281","display_name":"Frequentist inference","level":4,"score":0.43333667516708374},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.411868155002594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31554439663887024},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29646921157836914}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11634-024-00609-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11634-024-00609-2","pdf_url":null,"source":{"id":"https://openalex.org/S4210175730","display_name":"Advances in Data Analysis and Classification","issn_l":"1862-5347","issn":["1862-5347","1862-5355"],"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":"Advances in Data Analysis and Classification","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.5,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G5369203032","display_name":null,"funder_award_id":"110-2118-M-006-006-MY3","funder_id":"https://openalex.org/F2461203286","funder_display_name":"National Science and Technology Council"},{"id":"https://openalex.org/G7141014823","display_name":null,"funder_award_id":"111-2811-M-006-006-MY2","funder_id":"https://openalex.org/F2461203286","funder_display_name":"National Science and Technology Council"},{"id":"https://openalex.org/G7429529079","display_name":null,"funder_award_id":"109-2118-M-005-005-MY3","funder_id":"https://openalex.org/F2461203286","funder_display_name":"National Science and Technology Council"},{"id":"https://openalex.org/G888546125","display_name":null,"funder_award_id":"110-2811-M-005-510-MY2","funder_id":"https://openalex.org/F2461203286","funder_display_name":"National Science and Technology Council"}],"funders":[{"id":"https://openalex.org/F2461203286","display_name":"National Science and Technology Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W605692607","https://openalex.org/W626620119","https://openalex.org/W1218518433","https://openalex.org/W1516111018","https://openalex.org/W1970552113","https://openalex.org/W1975644945","https://openalex.org/W1981367467","https://openalex.org/W1984524168","https://openalex.org/W2049633694","https://openalex.org/W2082092506","https://openalex.org/W2085831769","https://openalex.org/W2090268867","https://openalex.org/W2098439089","https://openalex.org/W2099878672","https://openalex.org/W2106230501","https://openalex.org/W2124771642","https://openalex.org/W2145174697","https://openalex.org/W2150884987","https://openalex.org/W2165390490","https://openalex.org/W2182431228","https://openalex.org/W2234560694","https://openalex.org/W2491861244","https://openalex.org/W2611106444","https://openalex.org/W2771504110","https://openalex.org/W2888624049","https://openalex.org/W2902076525","https://openalex.org/W2952558372","https://openalex.org/W2977986876","https://openalex.org/W3010902555","https://openalex.org/W3029813318","https://openalex.org/W3040179011","https://openalex.org/W3045088083","https://openalex.org/W3102021677","https://openalex.org/W3104262839","https://openalex.org/W3125134520","https://openalex.org/W3165423689","https://openalex.org/W3165814796","https://openalex.org/W3174556605","https://openalex.org/W3201518044","https://openalex.org/W4214705044","https://openalex.org/W4235169531","https://openalex.org/W4309770651","https://openalex.org/W4389734888"],"related_works":["https://openalex.org/W2944091050","https://openalex.org/W2998817056","https://openalex.org/W4221107656","https://openalex.org/W2904258669","https://openalex.org/W2077878098","https://openalex.org/W4313815718","https://openalex.org/W1506744765","https://openalex.org/W996380913","https://openalex.org/W2024084279","https://openalex.org/W4225555917"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}
