{"id":"https://openalex.org/W4411135541","doi":"https://doi.org/10.1007/s11222-025-10628-4","title":"Fast Bayesian inference in a class of sparse linear mixed effects models","display_name":"Fast Bayesian inference in a class of sparse linear mixed effects models","publication_year":2025,"publication_date":"2025-06-09","ids":{"openalex":"https://openalex.org/W4411135541","doi":"https://doi.org/10.1007/s11222-025-10628-4"},"language":"en","primary_location":{"id":"doi:10.1007/s11222-025-10628-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11222-025-10628-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11222-025-10628-4.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11222-025-10628-4.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032318280","display_name":"Maria\u2010Zafeiria Spyropoulou","orcid":"https://orcid.org/0000-0001-8992-7133"},"institutions":[{"id":"https://openalex.org/I20581793","display_name":"University of Kent","ror":"https://ror.org/00xkeyj56","country_code":"GB","type":"education","lineage":["https://openalex.org/I20581793"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Maria-Zafeiria Spyropoulou","raw_affiliation_strings":["School of Sport and Exercise Sciences, University of Kent, Canterbury, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Sport and Exercise Sciences, University of Kent, Canterbury, UK","institution_ids":["https://openalex.org/I20581793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050453426","display_name":"James Hopker","orcid":"https://orcid.org/0000-0002-4786-7037"},"institutions":[{"id":"https://openalex.org/I20581793","display_name":"University of Kent","ror":"https://ror.org/00xkeyj56","country_code":"GB","type":"education","lineage":["https://openalex.org/I20581793"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"James G. Hopker","raw_affiliation_strings":["School of Sport and Exercise Sciences, University of Kent, Canterbury, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Sport and Exercise Sciences, University of Kent, Canterbury, UK","institution_ids":["https://openalex.org/I20581793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015629228","display_name":"Jim E. Griffin","orcid":"https://orcid.org/0000-0002-4828-7368"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Jim E. Griffin","raw_affiliation_strings":["Department of Statistical Science, University College London, Gower Street, London, WC1E 6BT, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistical Science, University College London, Gower Street, London, WC1E 6BT, UK","institution_ids":["https://openalex.org/I45129253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5015629228"],"corresponding_institution_ids":["https://openalex.org/I45129253"],"apc_list":{"value":2890,"currency":"USD","value_usd":2890},"apc_paid":{"value":2890,"currency":"USD","value_usd":2890},"fwci":1.2732,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.79355644,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"35","issue":"5","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9998000264167786,"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":0.9993000030517578,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9987999796867371,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6704420447349548},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6304227113723755},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5777789950370789},{"id":"https://openalex.org/keywords/generalized-linear-mixed-model","display_name":"Generalized linear mixed model","score":0.507602334022522},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.501417875289917},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.49605926871299744},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.48098933696746826},{"id":"https://openalex.org/keywords/mixed-model","display_name":"Mixed model","score":0.4781002700328827},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4365258812904358},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38296931982040405},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.37420743703842163},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.33342140913009644},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.32400622963905334},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32334983348846436}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6704420447349548},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6304227113723755},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5777789950370789},{"id":"https://openalex.org/C153720581","wikidata":"https://www.wikidata.org/wiki/Q5532490","display_name":"Generalized linear mixed model","level":2,"score":0.507602334022522},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.501417875289917},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.49605926871299744},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.48098933696746826},{"id":"https://openalex.org/C16012445","wikidata":"https://www.wikidata.org/wiki/Q1501135","display_name":"Mixed model","level":2,"score":0.4781002700328827},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4365258812904358},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38296931982040405},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.37420743703842163},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.33342140913009644},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.32400622963905334},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32334983348846436}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s11222-025-10628-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11222-025-10628-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11222-025-10628-4.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},{"id":"pmh:oai:kar.kent.ac.uk:111048","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11222-025-10628-4>)","pdf_url":"https://kar.kent.ac.uk/111048/1/11222_2025_Article_10628.pdf","source":{"id":"https://openalex.org/S4377196264","display_name":"Kent Academic Repository (University of Kent)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I20581793","host_organization_name":"University of Kent","host_organization_lineage":["https://openalex.org/I20581793"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1007/s11222-025-10628-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11222-025-10628-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11222-025-10628-4.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320314666","display_name":"Partnership for Clean Competition","ror":"https://ror.org/05w8p5s11"},{"id":"https://openalex.org/F4320320666","display_name":"University of Kent","ror":"https://ror.org/00xkeyj56"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411135541.pdf","grobid_xml":"https://content.openalex.org/works/W4411135541.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1074099955","https://openalex.org/W1423766661","https://openalex.org/W1531439921","https://openalex.org/W1580282541","https://openalex.org/W1982652137","https://openalex.org/W1982914322","https://openalex.org/W2005843344","https://openalex.org/W2024476015","https://openalex.org/W2032127646","https://openalex.org/W2049633694","https://openalex.org/W2070521069","https://openalex.org/W2073610283","https://openalex.org/W2074586297","https://openalex.org/W2111051773","https://openalex.org/W2225156818","https://openalex.org/W2962823220","https://openalex.org/W2980069674","https://openalex.org/W3205586694","https://openalex.org/W4311888173","https://openalex.org/W4379646323","https://openalex.org/W4392358083","https://openalex.org/W6600153622"],"related_works":["https://openalex.org/W4293051593","https://openalex.org/W2356286374","https://openalex.org/W2477652392","https://openalex.org/W218554686","https://openalex.org/W2892278485","https://openalex.org/W2376467429","https://openalex.org/W225107685","https://openalex.org/W2113087290","https://openalex.org/W2138408080","https://openalex.org/W580351748"],"abstract_inverted_index":{"Abstract":[0],"Linear":[1],"mixed":[2,14],"effects":[3,15,24],"models":[4],"are":[5],"widely":[6],"used":[7],"in":[8,21,96,110],"statistical":[9],"modelling.":[10],"We":[11],"consider":[12],"a":[13,30,73,97,103],"model":[16,49,85,105],"with":[17,50,86],"Bayesian":[18],"variable":[19,59],"selection":[20],"the":[22,48,54,58,78,84,92],"random":[23],"using":[25,64],"spike-and-slab":[26],"priors":[27],"and":[28,100,115],"develop":[29],"optimisation-based":[31],"inference":[32],"schemes":[33],"that":[34],"can":[35],"be":[36,81],"applied":[37,101],"to":[38,80,83,102],"large":[39],"data":[40],"sets.":[41],"An":[42],"EM":[43],"algorithm":[44,79,93],"is":[45,62,94],"proposed":[46],"for":[47,106],"normal":[51],"errors":[52],"where":[53],"posterior":[55],"distribution":[56],"of":[57,91],"inclusion":[60],"parameters":[61],"approximated":[63],"an":[65],"Occam\u2019s":[66],"window":[67],"approach.":[68],"Placing":[69],"this":[70],"approach":[71],"within":[72],"variational":[74],"Bayes":[75],"scheme":[76],"allows":[77],"extended":[82],"skew-t":[87],"errors.":[88],"The":[89],"performance":[90,109],"evaluated":[95],"simulation":[98],"study":[99],"longitudinal":[104],"elite":[107],"athlete":[108],"100":[111],"metres":[112],"track":[113],"sprinting":[114],"weightlifting.":[116]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-08-23T07:36:19.812096","created_date":"2025-10-10T00:00:00"}