{"id":"https://openalex.org/W4296777359","doi":"https://doi.org/10.1080/03610918.2022.2125015","title":"Linear mixed model selection via minimum approximated information criterion","display_name":"Linear mixed model selection via minimum approximated information criterion","publication_year":2022,"publication_date":"2022-09-20","ids":{"openalex":"https://openalex.org/W4296777359","doi":"https://doi.org/10.1080/03610918.2022.2125015"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2022.2125015","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2022.2125015","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1594910831256966","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022160885","display_name":"Olivia Atutey","orcid":null},"institutions":[{"id":"https://openalex.org/I83809506","display_name":"University of South Alabama","ror":"https://ror.org/01s7b5y08","country_code":"US","type":"education","lineage":["https://openalex.org/I83809506"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Olivia Atutey","raw_affiliation_strings":["Department of Mathematics and Statistics, University of South Alabama, Mobile, AL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, University of South Alabama, Mobile, AL, USA","institution_ids":["https://openalex.org/I83809506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085948154","display_name":"Junfeng Shang","orcid":null},"institutions":[{"id":"https://openalex.org/I157417397","display_name":"Bowling Green State University","ror":"https://ror.org/00ay7va13","country_code":"US","type":"education","lineage":["https://openalex.org/I157417397"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Junfeng Shang","raw_affiliation_strings":["Department of Mathematics and Statistics, Bowling Green State University, Bowling Green, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, Bowling Green State University, Bowling Green, OH, USA","institution_ids":["https://openalex.org/I157417397"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5085948154"],"corresponding_institution_ids":["https://openalex.org/I157417397"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10956483,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"53","issue":"8","first_page":"4046","last_page":"4070"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9994000196456909,"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":0.9994000196456909,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9994000196456909,"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/T11236","display_name":"Control Systems and Identification","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5804955959320068},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5441197156906128},{"id":"https://openalex.org/keywords/bayesian-information-criterion","display_name":"Bayesian information criterion","score":0.5041769742965698},{"id":"https://openalex.org/keywords/generalized-linear-mixed-model","display_name":"Generalized linear mixed model","score":0.45643532276153564},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.45330581068992615},{"id":"https://openalex.org/keywords/information-criteria","display_name":"Information Criteria","score":0.42853233218193054},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4169800281524658},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.3877125382423401},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.33764636516571045},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2111733853816986}],"concepts":[{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5804955959320068},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5441197156906128},{"id":"https://openalex.org/C168136583","wikidata":"https://www.wikidata.org/wiki/Q1988242","display_name":"Bayesian information criterion","level":2,"score":0.5041769742965698},{"id":"https://openalex.org/C153720581","wikidata":"https://www.wikidata.org/wiki/Q5532490","display_name":"Generalized linear mixed model","level":2,"score":0.45643532276153564},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.45330581068992615},{"id":"https://openalex.org/C2776709221","wikidata":"https://www.wikidata.org/wiki/Q6031040","display_name":"Information Criteria","level":3,"score":0.42853233218193054},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4169800281524658},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.3877125382423401},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.33764636516571045},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2111733853816986}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1080/03610918.2022.2125015","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2022.2125015","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"},{"id":"pmh:oai:etd.ohiolink.edu:bgsu1594910831256966","is_oa":true,"landing_page_url":"http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1594910831256966","pdf_url":"http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1594910831256966","source":{"id":"https://openalex.org/S4377196344","display_name":"OhioLink ETD Center (Ohio Library and Information Network)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210155183","host_organization_name":"Ohio Library and Information Network","host_organization_lineage":["https://openalex.org/I4210155183"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1594910831256966","raw_type":"text"},{"id":"pmh:oai:scholarworks.bgsu.edu:math_diss-1072","is_oa":false,"landing_page_url":"https://scholarworks.bgsu.edu/math_diss/73","pdf_url":null,"source":{"id":"https://openalex.org/S4306402596","display_name":"ScholarWorks@BGSU (Bowling Green State University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I157417397","host_organization_name":"Bowling Green State University","host_organization_lineage":["https://openalex.org/I157417397"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mathematics Ph.D. Dissertations","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:etd.ohiolink.edu:bgsu1594910831256966","is_oa":true,"landing_page_url":"http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1594910831256966","pdf_url":"http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1594910831256966","source":{"id":"https://openalex.org/S4377196344","display_name":"OhioLink ETD Center (Ohio Library and Information Network)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210155183","host_organization_name":"Ohio Library and Information Network","host_organization_lineage":["https://openalex.org/I4210155183"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1594910831256966","raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.47999998927116394,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4296777359.pdf"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W87641802","https://openalex.org/W114061584","https://openalex.org/W137628093","https://openalex.org/W1582801283","https://openalex.org/W1965125844","https://openalex.org/W1968371014","https://openalex.org/W1980092349","https://openalex.org/W1985985262","https://openalex.org/W1989898472","https://openalex.org/W1990723904","https://openalex.org/W1991567341","https://openalex.org/W1994552776","https://openalex.org/W2012152440","https://openalex.org/W2050604265","https://openalex.org/W2058815839","https://openalex.org/W2070575022","https://openalex.org/W2074682976","https://openalex.org/W2075651107","https://openalex.org/W2095133175","https://openalex.org/W2142972916","https://openalex.org/W2168175751","https://openalex.org/W2471967545","https://openalex.org/W2498539437","https://openalex.org/W2950483248","https://openalex.org/W3098306969","https://openalex.org/W3100910045","https://openalex.org/W3144434378","https://openalex.org/W4205337121","https://openalex.org/W4230076583","https://openalex.org/W6605613985"],"related_works":["https://openalex.org/W2114625140","https://openalex.org/W1968886786","https://openalex.org/W2607006239","https://openalex.org/W304661108","https://openalex.org/W1502087262","https://openalex.org/W2509820422","https://openalex.org/W3122388856","https://openalex.org/W2963415778","https://openalex.org/W2033907215","https://openalex.org/W236172754"],"abstract_inverted_index":{"Linear":[0],"mixed":[1,33,50,135],"models":[2,26],"(LMMs)":[3],"are":[4,27],"modeled":[5],"using":[6],"both":[7,109],"fixed":[8,99],"effects":[9,12,100],"and":[10,20,23,46,89,104,112,120,150,175,191],"random":[11,17,21],"for":[13,43,66,78,86,210],"correlated":[14],"data.":[15,81],"The":[16,82,137,201],"intercepts":[18,22],"(RI)":[19],"slopes":[24],"(RIS)":[25],"two":[28],"exceptional":[29],"cases":[30],"from":[31,140],"linear":[32,49,134],"models.":[34,51,136],"Our":[35],"primary":[36],"focus":[37],"is":[38,70,105,155,165,204],"to":[39,59,72,102,129,146,167],"propose":[40],"an":[41],"approach":[42],"simultaneous":[44],"selection":[45,88,119,193],"estimation":[47,90,122,190],"in":[48,189,207],"We":[52],"design":[53],"a":[54,126],"penalized":[55,187],"log-likelihood":[56,132],"procedure":[57,85,116],"referred":[58],"as":[60],"the":[61,74,80,93,97,130,147,151,169,172,176,181,195,198,211],"minimum":[62],"approximated":[63,156],"information":[64,113],"criteria":[65],"LMMs":[67],"(lmmMAIC),":[68],"which":[69,154],"utilized":[71],"select":[73],"most":[75],"appropriate":[76],"model":[77,192],"generalizing":[79],"proposed":[83,202],"lmmMAIC":[84,173,182],"variable":[87,118],"can":[91],"estimate":[92],"parameters":[94],"while":[95],"shrinking":[96],"unimportant":[98],"estimates":[101],"zero":[103],"mainly":[106,144],"motivated":[107],"by":[108,124,194],"regularized":[110,142],"methods":[111,143,188],"criteria.":[114],"This":[115],"enforces":[117],"sparse":[121],"simultaneously":[123],"adding":[125],"penalty":[127,148,152],"term":[128],"negative":[131],"of":[133,171,197,213],"method":[138,183,203],"differs":[139],"existing":[141],"due":[145],"parameter":[149],"function":[153],"L0":[157],"norm":[158],"with":[159],"unit":[160],"dent.":[161],"A":[162],"simulation":[163,177,199],"study":[164],"performed":[166],"demonstrate":[168],"effectiveness":[170],"method,":[174],"results":[178],"show":[179],"that":[180],"outperforms":[184],"some":[185],"other":[186],"comparison":[196],"results.":[200],"also":[205],"applied":[206],"Riboflavin":[208],"data":[209],"illustration":[212],"its":[214],"behavior.":[215]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}