{"id":"https://openalex.org/W2035982283","doi":"https://doi.org/10.1007/s11222-009-9156-5","title":"Functional variance estimation using penalized splines with\u00a0principal component analysis","display_name":"Functional variance estimation using penalized splines with\u00a0principal component analysis","publication_year":2009,"publication_date":"2009-11-19","ids":{"openalex":"https://openalex.org/W2035982283","doi":"https://doi.org/10.1007/s11222-009-9156-5","mag":"2035982283"},"language":"en","primary_location":{"id":"doi:10.1007/s11222-009-9156-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-009-9156-5","pdf_url":null,"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":null,"license_id":null,"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":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":false,"raw_author_name":"G\u00f6ran Kauermann","raw_affiliation_strings":["Centre for Statistics, Department of Economics, University of Bielefeld, Postfach 300131, 33501, Bielefeld, Germany","Centre for Statistics, Department of Economics, University of Bielefeld, Bielefeld, Germany 33501#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Statistics, Department of Economics, University of Bielefeld, Postfach 300131, 33501, Bielefeld, Germany","institution_ids":["https://openalex.org/I20121455"]},{"raw_affiliation_string":"Centre for Statistics, Department of Economics, University of Bielefeld, Bielefeld, Germany 33501#TAB#","institution_ids":["https://openalex.org/I20121455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063203529","display_name":"Michael Wegener","orcid":"https://orcid.org/0000-0002-1076-4587"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Michael Wegener","raw_affiliation_strings":["DEKA Investment GmbH, Mainzer Landstrasse 16, 60325, Frankfurt, Germany","DEKA Investment GmbH, Frankfurt, Germany 60325#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DEKA Investment GmbH, Mainzer Landstrasse 16, 60325, Frankfurt, Germany","institution_ids":[]},{"raw_affiliation_string":"DEKA Investment GmbH, Frankfurt, Germany 60325#TAB#","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5063203529"],"corresponding_institution_ids":[],"apc_list":{"value":2690,"currency":"USD","value_usd":2690},"apc_paid":null,"fwci":0.5229,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.67829492,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"21","issue":"2","first_page":"159","last_page":"171"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9983999729156494,"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":0.9983999729156494,"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/T13487","display_name":"Statistical and numerical algorithms","score":0.9861999750137329,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"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":0.9851999878883362,"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/functional-principal-component-analysis","display_name":"Functional principal component analysis","score":0.870343804359436},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.7701502442359924},{"id":"https://openalex.org/keywords/functional-data-analysis","display_name":"Functional data analysis","score":0.748227596282959},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6445150971412659},{"id":"https://openalex.org/keywords/smoothing-spline","display_name":"Smoothing spline","score":0.6120644211769104},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.528265118598938},{"id":"https://openalex.org/keywords/spline","display_name":"Spline (mechanical)","score":0.5088062882423401},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.507946789264679},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.503316342830658},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4876314699649811},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.461572527885437},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45487555861473083},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4353402256965637},{"id":"https://openalex.org/keywords/component-analysis","display_name":"Component analysis","score":0.4342588782310486},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3923579752445221},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3705044984817505},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36818116903305054},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2999732196331024}],"concepts":[{"id":"https://openalex.org/C71176878","wikidata":"https://www.wikidata.org/wiki/Q17014987","display_name":"Functional principal component analysis","level":3,"score":0.870343804359436},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7701502442359924},{"id":"https://openalex.org/C51820054","wikidata":"https://www.wikidata.org/wiki/Q5508814","display_name":"Functional data analysis","level":2,"score":0.748227596282959},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6445150971412659},{"id":"https://openalex.org/C107457265","wikidata":"https://www.wikidata.org/wiki/Q7546460","display_name":"Smoothing spline","level":4,"score":0.6120644211769104},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.528265118598938},{"id":"https://openalex.org/C10390562","wikidata":"https://www.wikidata.org/wiki/Q581809","display_name":"Spline (mechanical)","level":2,"score":0.5088062882423401},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.507946789264679},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.503316342830658},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4876314699649811},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.461572527885437},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45487555861473083},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4353402256965637},{"id":"https://openalex.org/C2780692498","wikidata":"https://www.wikidata.org/wiki/Q16950721","display_name":"Component analysis","level":2,"score":0.4342588782310486},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3923579752445221},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3705044984817505},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36818116903305054},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2999732196331024},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C31447003","wikidata":"https://www.wikidata.org/wiki/Q545002","display_name":"Spline interpolation","level":3,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s11222-009-9156-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-009-9156-5","pdf_url":null,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},{"id":"pmh:oai:pub.librecat.org:2003124","is_oa":false,"landing_page_url":"https://pub.uni-bielefeld.de/record/2003124","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, Wegener M. Functional variance estimation using penalized splines with principal component analysis. &lt;em&gt;Statistics and Computing&lt;/em&gt;. 2011;21(2):159-171.","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":46,"referenced_works":["https://openalex.org/W3984986","https://openalex.org/W77473095","https://openalex.org/W158306839","https://openalex.org/W206706296","https://openalex.org/W1423766661","https://openalex.org/W1587094587","https://openalex.org/W1987371472","https://openalex.org/W1990420052","https://openalex.org/W1999142863","https://openalex.org/W2000098294","https://openalex.org/W2003524333","https://openalex.org/W2010048326","https://openalex.org/W2019579897","https://openalex.org/W2027106381","https://openalex.org/W2038580754","https://openalex.org/W2040669081","https://openalex.org/W2063830806","https://openalex.org/W2068354891","https://openalex.org/W2068629725","https://openalex.org/W2077192207","https://openalex.org/W2079368396","https://openalex.org/W2090382476","https://openalex.org/W2099337407","https://openalex.org/W2119753634","https://openalex.org/W2132911252","https://openalex.org/W2140054106","https://openalex.org/W2145816995","https://openalex.org/W2147975810","https://openalex.org/W2162870748","https://openalex.org/W2164777891","https://openalex.org/W2201428280","https://openalex.org/W2323312366","https://openalex.org/W2509991828","https://openalex.org/W3021971632","https://openalex.org/W3023807737","https://openalex.org/W3034644295","https://openalex.org/W3124477952","https://openalex.org/W3137136951","https://openalex.org/W4206439534","https://openalex.org/W4206653471","https://openalex.org/W4238717354","https://openalex.org/W4239329468","https://openalex.org/W4242746719","https://openalex.org/W4251011993","https://openalex.org/W4292156489","https://openalex.org/W4388319941"],"related_works":["https://openalex.org/W2299080873","https://openalex.org/W273216563","https://openalex.org/W2605967135","https://openalex.org/W2056592727","https://openalex.org/W1925427981","https://openalex.org/W2963184067","https://openalex.org/W2090567594","https://openalex.org/W2132911252","https://openalex.org/W2299857656","https://openalex.org/W2227516623"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
