{"id":"https://openalex.org/W1486016120","doi":"https://doi.org/10.1023/a:1011916902934","title":"Nonparametric regression using linear combinations of basis functions","display_name":"Nonparametric regression using linear combinations of basis functions","publication_year":2001,"publication_date":"2001-10-01","ids":{"openalex":"https://openalex.org/W1486016120","doi":"https://doi.org/10.1023/a:1011916902934","mag":"1486016120"},"language":"en","primary_location":{"id":"doi:10.1023/a:1011916902934","is_oa":false,"landing_page_url":"https://doi.org/10.1023/a:1011916902934","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/A5051693933","display_name":"Robert Kohn","orcid":"https://orcid.org/0000-0002-3733-1474"},"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"]},{"id":"https://openalex.org/I4210100878","display_name":"Australian Federation of Graduate Women New South Wales","ror":"https://ror.org/014ngq634","country_code":"AU","type":"other","lineage":["https://openalex.org/I4210100878"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Robert Kohn","raw_affiliation_strings":["Australian Graduate School of Management, University of New South Wales, Sydney, 2052, Australia","Australian Graduate School of Management, University of New South Wales, Sydney 2052, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Australian Graduate School of Management, University of New South Wales, Sydney, 2052, Australia","institution_ids":["https://openalex.org/I4210100878","https://openalex.org/I31746571"]},{"raw_affiliation_string":"Australian Graduate School of Management, University of New South Wales, Sydney 2052, Australia","institution_ids":["https://openalex.org/I4210100878","https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050357458","display_name":"Michael S. Smith","orcid":"https://orcid.org/0000-0002-7589-2037"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Michael Smith","raw_affiliation_strings":["Econometrics and Business Statistics Group, Faculty of Economics and Business, University of Sydney, NSW, 2006, Australia","Econometrics and Business Statistics Group, Faculty of Economics and Business, University of Sydney, NSW 2006, Australia#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Econometrics and Business Statistics Group, Faculty of Economics and Business, University of Sydney, NSW, 2006, Australia","institution_ids":["https://openalex.org/I129604602"]},{"raw_affiliation_string":"Econometrics and Business Statistics Group, Faculty of Economics and Business, University of Sydney, NSW 2006, Australia#TAB#","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088117115","display_name":"David Chan","orcid":null},"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"]},{"id":"https://openalex.org/I4210100878","display_name":"Australian Federation of Graduate Women New South Wales","ror":"https://ror.org/014ngq634","country_code":"AU","type":"other","lineage":["https://openalex.org/I4210100878"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"David Chan","raw_affiliation_strings":["Australian Graduate School of Management, University of New South Wales, Sydney, 2052, Australia","Australian Graduate School of Management, University of New South Wales, Sydney 2052, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Australian Graduate School of Management, University of New South Wales, Sydney, 2052, Australia","institution_ids":["https://openalex.org/I4210100878","https://openalex.org/I31746571"]},{"raw_affiliation_string":"Australian Graduate School of Management, University of New South Wales, Sydney 2052, Australia","institution_ids":["https://openalex.org/I4210100878","https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2090,"currency":"EUR","value_usd":2690},"apc_paid":null,"fwci":7.654,"has_fulltext":false,"cited_by_count":184,"citation_normalized_percentile":{"value":0.968272,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"11","issue":"4","first_page":"313","last_page":"322"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9993000030517578,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9939000010490417,"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":0.9883999824523926,"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/mathematics","display_name":"Mathematics","score":0.5992013812065125},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.5924715995788574},{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.572026252746582},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.5509365200996399},{"id":"https://openalex.org/keywords/basis-function","display_name":"Basis function","score":0.5201271176338196},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.5056216716766357},{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.4725456237792969},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.46711716055870056},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.4513572156429291},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.43140077590942383},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.4224027395248413},{"id":"https://openalex.org/keywords/nonparametric-regression","display_name":"Nonparametric regression","score":0.42201700806617737},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.41646450757980347},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.41232216358184814},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3337245583534241},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3131372928619385},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.2879844307899475}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5992013812065125},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.5924715995788574},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.572026252746582},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.5509365200996399},{"id":"https://openalex.org/C5917680","wikidata":"https://www.wikidata.org/wiki/Q2621825","display_name":"Basis function","level":2,"score":0.5201271176338196},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.5056216716766357},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.4725456237792969},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.46711716055870056},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.4513572156429291},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.43140077590942383},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.4224027395248413},{"id":"https://openalex.org/C74127309","wikidata":"https://www.wikidata.org/wiki/Q3455886","display_name":"Nonparametric regression","level":3,"score":0.42201700806617737},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.41646450757980347},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.41232216358184814},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3337245583534241},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3131372928619385},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.2879844307899475},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1023/a:1011916902934","is_oa":false,"landing_page_url":"https://doi.org/10.1023/a:1011916902934","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W42051514","https://openalex.org/W171292237","https://openalex.org/W1524100745","https://openalex.org/W1999974018","https://openalex.org/W2002113995","https://openalex.org/W2002869784","https://openalex.org/W2007069447","https://openalex.org/W2084594423","https://openalex.org/W2102201073","https://openalex.org/W2106706098","https://openalex.org/W2118723175","https://openalex.org/W2122891730","https://openalex.org/W2128860595","https://openalex.org/W2138309709","https://openalex.org/W2146766088","https://openalex.org/W2158071659","https://openalex.org/W2166624680","https://openalex.org/W2797583072","https://openalex.org/W3214323364","https://openalex.org/W6606997615","https://openalex.org/W6675321329","https://openalex.org/W6684823039","https://openalex.org/W6844138650","https://openalex.org/W7070560509"],"related_works":["https://openalex.org/W2013493105","https://openalex.org/W1966667550","https://openalex.org/W2079897827","https://openalex.org/W2006953814","https://openalex.org/W3122667150","https://openalex.org/W2808508258","https://openalex.org/W1584341211","https://openalex.org/W3045699787","https://openalex.org/W3192036101","https://openalex.org/W2021796032"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":12},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":18}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2016-06-24T00:00:00"}
