{"id":"https://openalex.org/W2051499343","doi":"https://doi.org/10.1007/s00357-010-9045-9","title":"Parsimonious Classification Via Generalized Linear Mixed Models","display_name":"Parsimonious Classification Via Generalized Linear Mixed Models","publication_year":2010,"publication_date":"2010-03-01","ids":{"openalex":"https://openalex.org/W2051499343","doi":"https://doi.org/10.1007/s00357-010-9045-9","mag":"2051499343"},"language":"en","primary_location":{"id":"doi:10.1007/s00357-010-9045-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00357-010-9045-9","pdf_url":null,"source":{"id":"https://openalex.org/S73028643","display_name":"Journal of Classification","issn_l":"0176-4268","issn":["0176-4268","1432-1343"],"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":"Journal of 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/A5065418517","display_name":"G\u00f6ran Kauermann","orcid":"https://orcid.org/0000-0003-0742-7835"},"institutions":[{"id":"https://openalex.org/I20121455","display_name":"Bielefeld University","ror":"https://ror.org/02hpadn98","country_code":"DE","type":"education","lineage":["https://openalex.org/I20121455"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"G. Kauermann","raw_affiliation_strings":["Faculty of Economics, University Bielefeld, Postfach 300131, 33501, Bielefeld, Germany","University Bielefeld, Faculty of Economics, Postfach 300131, 33501, Bielefeld, Germany#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Economics, University Bielefeld, Postfach 300131, 33501, Bielefeld, Germany","institution_ids":["https://openalex.org/I20121455"]},{"raw_affiliation_string":"University Bielefeld, Faculty of Economics, Postfach 300131, 33501, Bielefeld, Germany#TAB#","institution_ids":["https://openalex.org/I20121455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050677327","display_name":"John T. Ormerod","orcid":"https://orcid.org/0000-0002-4650-7507"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"J. T. Ormerod","raw_affiliation_strings":["School of Mathematics and Statistics, University of New South Wales, Sydney, 2052, Australia","University of New South Wales, School of Mathematics and Statistics, 2052, Sydney, Australia#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, University of New South Wales, Sydney, 2052, Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"University of New South Wales, School of Mathematics and Statistics, 2052, Sydney, Australia#TAB#","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050191159","display_name":"M. P. Wand","orcid":"https://orcid.org/0000-0003-2555-896X"},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"M. P. Wand","raw_affiliation_strings":["School of Mathematics and Applied Statistics, University of Wollongong, Northfields Avenue, Wollongong, 2522, Australia","University of Wollongong, School of Mathematics and Applied Statistics, Northfields Avenue, 2522, Wollongong, Australia#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Applied Statistics, University of Wollongong, Northfields Avenue, Wollongong, 2522, Australia","institution_ids":["https://openalex.org/I204824540"]},{"raw_affiliation_string":"University of Wollongong, School of Mathematics and Applied Statistics, Northfields Avenue, 2522, Wollongong, Australia#TAB#","institution_ids":["https://openalex.org/I204824540"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5065418517"],"corresponding_institution_ids":["https://openalex.org/I20121455"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.11123863,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"27","issue":"1","first_page":"89","last_page":"110"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9958000183105469,"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":0.9958000183105469,"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":0.9941999912261963,"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":0.9818999767303467,"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/laplaces-method","display_name":"Laplace's method","score":0.6369432210922241},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6121118068695068},{"id":"https://openalex.org/keywords/generalized-linear-mixed-model","display_name":"Generalized linear mixed model","score":0.5721168518066406},{"id":"https://openalex.org/keywords/generalized-linear-model","display_name":"Generalized linear model","score":0.5509291887283325},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.548180341720581},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5441213846206665},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.5342354774475098},{"id":"https://openalex.org/keywords/spline","display_name":"Spline (mechanical)","score":0.5340947508811951},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5115645527839661},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4475131034851074},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.4346122145652771},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40648528933525085},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.363770067691803},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3542105257511139},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32272714376449585},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24378323554992676},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.09266847372055054}],"concepts":[{"id":"https://openalex.org/C22243797","wikidata":"https://www.wikidata.org/wiki/Q2058297","display_name":"Laplace's method","level":3,"score":0.6369432210922241},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6121118068695068},{"id":"https://openalex.org/C153720581","wikidata":"https://www.wikidata.org/wiki/Q5532490","display_name":"Generalized linear mixed model","level":2,"score":0.5721168518066406},{"id":"https://openalex.org/C41587187","wikidata":"https://www.wikidata.org/wiki/Q1501882","display_name":"Generalized linear model","level":2,"score":0.5509291887283325},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.548180341720581},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5441213846206665},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.5342354774475098},{"id":"https://openalex.org/C10390562","wikidata":"https://www.wikidata.org/wiki/Q581809","display_name":"Spline (mechanical)","level":2,"score":0.5340947508811951},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5115645527839661},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4475131034851074},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.4346122145652771},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40648528933525085},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.363770067691803},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3542105257511139},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32272714376449585},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24378323554992676},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.09266847372055054},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/s00357-010-9045-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00357-010-9045-9","pdf_url":null,"source":{"id":"https://openalex.org/S73028643","display_name":"Journal of Classification","issn_l":"0176-4268","issn":["0176-4268","1432-1343"],"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":"Journal of Classification","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:jclass:v:27:y:2010:i:1:p:89-110","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1007/s00357-010-9045-9","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"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/14514","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/14514","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:pub.librecat.org:1795685","is_oa":false,"landing_page_url":"https://pub.uni-bielefeld.de/record/1795685","pdf_url":null,"source":{"id":"https://openalex.org/S4306401671","display_name":"PUB \u2013 Publications at Bielefeld University (Bielefeld University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I20121455","host_organization_name":"Bielefeld University","host_organization_lineage":["https://openalex.org/I20121455"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Kauermann G, Ormerod JT, Wand MP. Parsimonious Classification Via Generalized Linear Mixed Models. &lt;em&gt;JOURNAL OF CLASSIFICATION&lt;/em&gt;. 2010;27(1):89-110.","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W10028449","https://openalex.org/W94842571","https://openalex.org/W158306839","https://openalex.org/W1423766661","https://openalex.org/W1480376833","https://openalex.org/W1565240145","https://openalex.org/W1592382321","https://openalex.org/W1594031697","https://openalex.org/W1938758642","https://openalex.org/W1973682096","https://openalex.org/W1980911127","https://openalex.org/W2000259142","https://openalex.org/W2002869784","https://openalex.org/W2004133721","https://openalex.org/W2010295655","https://openalex.org/W2014581807","https://openalex.org/W2016886155","https://openalex.org/W2017904507","https://openalex.org/W2025377476","https://openalex.org/W2035196541","https://openalex.org/W2055748356","https://openalex.org/W2058512798","https://openalex.org/W2073978867","https://openalex.org/W2076490314","https://openalex.org/W2079368396","https://openalex.org/W2084341220","https://openalex.org/W2093825731","https://openalex.org/W2100128674","https://openalex.org/W2102696581","https://openalex.org/W2119753634","https://openalex.org/W2139481445","https://openalex.org/W2140308441","https://openalex.org/W2150988027","https://openalex.org/W2162430620","https://openalex.org/W2296319761","https://openalex.org/W2330820318","https://openalex.org/W2403035479","https://openalex.org/W2492698467","https://openalex.org/W2507058334","https://openalex.org/W2614237344","https://openalex.org/W2796930440","https://openalex.org/W2797583072","https://openalex.org/W2952182095","https://openalex.org/W3014310718","https://openalex.org/W3085162807","https://openalex.org/W3101472415","https://openalex.org/W3102221121","https://openalex.org/W4230076583","https://openalex.org/W4249303080","https://openalex.org/W4250589301","https://openalex.org/W4254901254","https://openalex.org/W4285719527","https://openalex.org/W4294570726","https://openalex.org/W6723108060","https://openalex.org/W6908398898","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W4249888275","https://openalex.org/W1559103440","https://openalex.org/W2905399339","https://openalex.org/W3081465059","https://openalex.org/W1510072949","https://openalex.org/W1556631438","https://openalex.org/W2356286374","https://openalex.org/W1775496567","https://openalex.org/W1600050343","https://openalex.org/W2076079619"],"abstract_inverted_index":null,"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
