{"id":"https://openalex.org/W7129687748","doi":"https://doi.org/10.1016/j.cam.2026.117463","title":"Finite mixtures of matrix-variate shifted generalized asymmetric Laplace distribution for three-way data","display_name":"Finite mixtures of matrix-variate shifted generalized asymmetric Laplace distribution for three-way data","publication_year":2026,"publication_date":"2026-02-18","ids":{"openalex":"https://openalex.org/W7129687748","doi":"https://doi.org/10.1016/j.cam.2026.117463"},"language":"en","primary_location":{"id":"doi:10.1016/j.cam.2026.117463","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.cam.2026.117463","pdf_url":null,"source":{"id":"https://openalex.org/S165473669","display_name":"Journal of Computational and Applied Mathematics","issn_l":"0377-0427","issn":["0377-0427","1879-1778"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational and Applied Mathematics","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/A5126270052","display_name":"Carlos A.R. Diniz","orcid":null},"institutions":[{"id":"https://openalex.org/I177909021","display_name":"Universidade Federal de S\u00e3o Carlos","ror":"https://ror.org/00qdc6m37","country_code":"BR","type":"education","lineage":["https://openalex.org/I177909021"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Carlos A.R. Diniz","raw_affiliation_strings":["Department of Statistics, Federal University of S\u00e3o Carlos, S\u00e3o Carlos, SP, Brazil"],"raw_orcid":"https://orcid.org/0000-0003-2604-5875","affiliations":[{"raw_affiliation_string":"Department of Statistics, Federal University of S\u00e3o Carlos, S\u00e3o Carlos, SP, Brazil","institution_ids":["https://openalex.org/I177909021"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126258597","display_name":"Jhonata Da Silva Pereira","orcid":null},"institutions":[{"id":"https://openalex.org/I1314665148","display_name":"Universidade Federal do Oeste do Par\u00e1","ror":"https://ror.org/04603xj85","country_code":"BR","type":"education","lineage":["https://openalex.org/I1314665148"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jhonata Da Silva Pereira","raw_affiliation_strings":["Federal University of Western Par\u00e1, Santar\u00e9m, PA, Brazil"],"raw_orcid":"https://orcid.org/0009-0005-6498-439X","affiliations":[{"raw_affiliation_string":"Federal University of Western Par\u00e1, Santar\u00e9m, PA, Brazil","institution_ids":["https://openalex.org/I1314665148"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5126256972","display_name":"Victor H. Lachos","orcid":null},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Victor H. Lachos","raw_affiliation_strings":["Department of Statistics, University of Connecticut, Storrs, Connecticut, 06269, U.S.A"],"raw_orcid":"https://orcid.org/0000-0002-7239-2459","affiliations":[{"raw_affiliation_string":"Department of Statistics, University of Connecticut, Storrs, Connecticut, 06269, U.S.A","institution_ids":["https://openalex.org/I140172145"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5126256972"],"corresponding_institution_ids":["https://openalex.org/I140172145"],"apc_list":{"value":2870,"currency":"USD","value_usd":2870},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19580869,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"484","issue":null,"first_page":"117463","last_page":"117463"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9082000255584717,"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":0.9082000255584717,"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":0.028200000524520874,"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/T11911","display_name":"Spatial and Panel Data Analysis","score":0.009200000204145908,"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/skewness","display_name":"Skewness","score":0.7990000247955322},{"id":"https://openalex.org/keywords/laplace-transform","display_name":"Laplace transform","score":0.5350000262260437},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.46140000224113464},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.44769999384880066},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4431999921798706},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.430400013923645},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.4221000075340271},{"id":"https://openalex.org/keywords/laplace-distribution","display_name":"Laplace distribution","score":0.41670000553131104},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.41269999742507935}],"concepts":[{"id":"https://openalex.org/C122342681","wikidata":"https://www.wikidata.org/wiki/Q330828","display_name":"Skewness","level":2,"score":0.7990000247955322},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.7603999972343445},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.5665000081062317},{"id":"https://openalex.org/C97937538","wikidata":"https://www.wikidata.org/wiki/Q199691","display_name":"Laplace transform","level":2,"score":0.5350000262260437},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.46140000224113464},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.44769999384880066},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4431999921798706},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.430400013923645},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.4221000075340271},{"id":"https://openalex.org/C183057437","wikidata":"https://www.wikidata.org/wiki/Q671617","display_name":"Laplace distribution","level":3,"score":0.41670000553131104},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.41269999742507935},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.41260001063346863},{"id":"https://openalex.org/C43555835","wikidata":"https://www.wikidata.org/wiki/Q2300258","display_name":"Conditional probability distribution","level":2,"score":0.41040000319480896},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.39969998598098755},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.3856000006198883},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.34470000863075256},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3424000144004822},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.329800009727478},{"id":"https://openalex.org/C138777275","wikidata":"https://www.wikidata.org/wiki/Q6884054","display_name":"Mixing (physics)","level":2,"score":0.31779998540878296},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.31610000133514404},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.2797999978065491},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.2759000062942505},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.27410000562667847},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.2558000087738037},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25450000166893005},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.2531000077724457}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.cam.2026.117463","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.cam.2026.117463","pdf_url":null,"source":{"id":"https://openalex.org/S165473669","display_name":"Journal of Computational and Applied Mathematics","issn_l":"0377-0427","issn":["0377-0427","1879-1778"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational and Applied Mathematics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.873907208442688,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G2218251448","display_name":null,"funder_award_id":"2024/08369-8","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"}],"funders":[{"id":"https://openalex.org/F4320310017","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97"},{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"},{"id":"https://openalex.org/F4320332968","display_name":"College of Liberal Arts and Sciences, Arizona State University","ror":"https://ror.org/03efmqc40"},{"id":"https://openalex.org/F5270074990","display_name":"Office of Vice President for Research, University of Virginia","ror":null},{"id":"https://openalex.org/F8625567347","display_name":"Office of the Vice President for Research and Partnerships","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W109865423","https://openalex.org/W1541785149","https://openalex.org/W1755019093","https://openalex.org/W1966791291","https://openalex.org/W2032450815","https://openalex.org/W2069240424","https://openalex.org/W2070232557","https://openalex.org/W2071447906","https://openalex.org/W2086568243","https://openalex.org/W2102321880","https://openalex.org/W2158703410","https://openalex.org/W2614464134","https://openalex.org/W2739929871","https://openalex.org/W2795528501","https://openalex.org/W2950411888","https://openalex.org/W2962948145","https://openalex.org/W3097039570","https://openalex.org/W4246809545","https://openalex.org/W4281285846","https://openalex.org/W4302303884","https://openalex.org/W4387306333","https://openalex.org/W4403484320","https://openalex.org/W4404734293","https://openalex.org/W4406883467"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2026-02-18T00:00:00"}
