{"id":"https://openalex.org/W2166360435","doi":"https://doi.org/10.1007/s00180-007-0031-6","title":"Robust penalized regression spline fitting with application to additive mixed modeling","display_name":"Robust penalized regression spline fitting with application to additive mixed modeling","publication_year":2007,"publication_date":"2007-02-16","ids":{"openalex":"https://openalex.org/W2166360435","doi":"https://doi.org/10.1007/s00180-007-0031-6","mag":"2166360435"},"language":"en","primary_location":{"id":"doi:10.1007/s00180-007-0031-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00180-007-0031-6","pdf_url":null,"source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"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":"Computational Statistics","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/A5049635087","display_name":"Thomas C. M. Lee","orcid":"https://orcid.org/0000-0001-7067-405X"},"institutions":[{"id":"https://openalex.org/I92446798","display_name":"Colorado State University","ror":"https://ror.org/03k1gpj17","country_code":"US","type":"education","lineage":["https://openalex.org/I92446798"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas C. M. Lee","raw_affiliation_strings":["Department of Statistics, Colorado State University, Fort Collins, CO, 80523-1877, USA"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Colorado State University, Fort Collins, CO, 80523-1877, USA","institution_ids":["https://openalex.org/I92446798"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032931435","display_name":"Hee\u2010Seok Oh","orcid":"https://orcid.org/0000-0002-1501-0530"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hee-Seok Oh","raw_affiliation_strings":["Department of Statistics, Seoul National University, San 56-1, Sillim-dong, Gwanak-gu, Seoul, 151-747, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Seoul National University, San 56-1, Sillim-dong, Gwanak-gu, Seoul, 151-747, South Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5032931435"],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":{"value":2490,"currency":"EUR","value_usd":3090},"apc_paid":null,"fwci":3.517,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.93408053,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"22","issue":"1","first_page":"159","last_page":"171"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9939000010490417,"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"}},"topics":[{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9939000010490417,"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"}},{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9882000088691711,"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/spline","display_name":"Spline (mechanical)","score":0.710770845413208},{"id":"https://openalex.org/keywords/smoothing-spline","display_name":"Smoothing spline","score":0.6824716329574585},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.665252149105072},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5352208614349365},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5258520245552063},{"id":"https://openalex.org/keywords/additive-model","display_name":"Additive model","score":0.5040887594223022},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48565757274627686},{"id":"https://openalex.org/keywords/generalized-additive-model","display_name":"Generalized additive model","score":0.48264938592910767},{"id":"https://openalex.org/keywords/nonparametric-regression","display_name":"Nonparametric regression","score":0.4650719165802002},{"id":"https://openalex.org/keywords/robust-regression","display_name":"Robust regression","score":0.4578631520271301},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4336041212081909},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.41730254888534546},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4171643555164337},{"id":"https://openalex.org/keywords/multivariate-adaptive-regression-splines","display_name":"Multivariate adaptive regression splines","score":0.4121996760368347},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3041074872016907},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24933084845542908},{"id":"https://openalex.org/keywords/spline-interpolation","display_name":"Spline interpolation","score":0.12444701790809631},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08855202794075012}],"concepts":[{"id":"https://openalex.org/C10390562","wikidata":"https://www.wikidata.org/wiki/Q581809","display_name":"Spline (mechanical)","level":2,"score":0.710770845413208},{"id":"https://openalex.org/C107457265","wikidata":"https://www.wikidata.org/wiki/Q7546460","display_name":"Smoothing spline","level":4,"score":0.6824716329574585},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.665252149105072},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5352208614349365},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5258520245552063},{"id":"https://openalex.org/C203223496","wikidata":"https://www.wikidata.org/wiki/Q4681344","display_name":"Additive model","level":2,"score":0.5040887594223022},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48565757274627686},{"id":"https://openalex.org/C194648359","wikidata":"https://www.wikidata.org/wiki/Q3318054","display_name":"Generalized additive model","level":2,"score":0.48264938592910767},{"id":"https://openalex.org/C74127309","wikidata":"https://www.wikidata.org/wiki/Q3455886","display_name":"Nonparametric regression","level":3,"score":0.4650719165802002},{"id":"https://openalex.org/C70259352","wikidata":"https://www.wikidata.org/wiki/Q1847839","display_name":"Robust regression","level":3,"score":0.4578631520271301},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4336041212081909},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.41730254888534546},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4171643555164337},{"id":"https://openalex.org/C44882253","wikidata":"https://www.wikidata.org/wiki/Q3455882","display_name":"Multivariate adaptive regression splines","level":4,"score":0.4121996760368347},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3041074872016907},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24933084845542908},{"id":"https://openalex.org/C31447003","wikidata":"https://www.wikidata.org/wiki/Q545002","display_name":"Spline interpolation","level":3,"score":0.12444701790809631},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08855202794075012},{"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/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s00180-007-0031-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00180-007-0031-6","pdf_url":null,"source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"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":"Computational Statistics","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:compst:v:22:y:2007:i:1:p:159-171","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1007/s00180-007-0031-6","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"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7300000190734863}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321292","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W283310529","https://openalex.org/W1423766661","https://openalex.org/W1606103313","https://openalex.org/W1990420052","https://openalex.org/W2027106381","https://openalex.org/W2048706383","https://openalex.org/W2058576026","https://openalex.org/W2101912231","https://openalex.org/W2127163275","https://openalex.org/W2129003284","https://openalex.org/W2130444042","https://openalex.org/W2145816995","https://openalex.org/W2162240567","https://openalex.org/W3015789953","https://openalex.org/W3125221652","https://openalex.org/W4241656367","https://openalex.org/W4254345832"],"related_works":["https://openalex.org/W2096194036","https://openalex.org/W1481829876","https://openalex.org/W2143869582","https://openalex.org/W2069371995","https://openalex.org/W4241796135","https://openalex.org/W2050323392","https://openalex.org/W2505268444","https://openalex.org/W1912715589","https://openalex.org/W1870730760","https://openalex.org/W2166360435"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
