{"id":"https://openalex.org/W2100478220","doi":"https://doi.org/10.1007/s11222-006-6560-y","title":"Adaptive lifting for nonparametric regression","display_name":"Adaptive lifting for nonparametric regression","publication_year":2006,"publication_date":"2006-05-09","ids":{"openalex":"https://openalex.org/W2100478220","doi":"https://doi.org/10.1007/s11222-006-6560-y","mag":"2100478220"},"language":"en","primary_location":{"id":"doi:10.1007/s11222-006-6560-y","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-006-6560-y","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/A5062068953","display_name":"Matthew A. Nunes","orcid":"https://orcid.org/0000-0002-4719-2690"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Matthew A. Nunes","raw_affiliation_strings":["Department of Mathematics, University of Bristol, UK","Department of Mathematics University of Bristol, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Bristol, UK","institution_ids":["https://openalex.org/I36234482"]},{"raw_affiliation_string":"Department of Mathematics University of Bristol, UK","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067487855","display_name":"Marina I. Knight","orcid":"https://orcid.org/0000-0001-9926-6092"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Marina I. Knight","raw_affiliation_strings":["Department of Mathematics, University of Bristol, UK","Department of Mathematics University of Bristol, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Bristol, UK","institution_ids":["https://openalex.org/I36234482"]},{"raw_affiliation_string":"Department of Mathematics University of Bristol, UK","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083214421","display_name":"Guy P. Nason","orcid":"https://orcid.org/0000-0002-4664-3154"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Guy P. Nason","raw_affiliation_strings":["Department of Mathematics, University of Bristol, UK","Department of Mathematics University of Bristol, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Bristol, UK","institution_ids":["https://openalex.org/I36234482"]},{"raw_affiliation_string":"Department of Mathematics University of Bristol, UK","institution_ids":["https://openalex.org/I36234482"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5062068953"],"corresponding_institution_ids":["https://openalex.org/I36234482"],"apc_list":{"value":2090,"currency":"EUR","value_usd":2690},"apc_paid":null,"fwci":3.7259,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.93731276,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"16","issue":"2","first_page":"143","last_page":"159"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12100","display_name":"Advanced Mathematical Modeling in Engineering","score":0.9902999997138977,"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/T11205","display_name":"Numerical methods in inverse problems","score":0.9664000272750854,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"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/wavelet","display_name":"Wavelet","score":0.8003848791122437},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.5674074292182922},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5668693780899048},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5366038680076599},{"id":"https://openalex.org/keywords/lifting-scheme","display_name":"Lifting scheme","score":0.5360894799232483},{"id":"https://openalex.org/keywords/nonparametric-regression","display_name":"Nonparametric regression","score":0.5185176134109497},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4808971881866455},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.4534164071083069},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4175342321395874},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4124971032142639},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40842491388320923},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3618876338005066},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3608437776565552},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.33833521604537964},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.3368191421031952},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2798200249671936},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.24430683255195618},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17147758603096008}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.8003848791122437},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.5674074292182922},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5668693780899048},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5366038680076599},{"id":"https://openalex.org/C199550912","wikidata":"https://www.wikidata.org/wiki/Q3238415","display_name":"Lifting scheme","level":5,"score":0.5360894799232483},{"id":"https://openalex.org/C74127309","wikidata":"https://www.wikidata.org/wiki/Q3455886","display_name":"Nonparametric regression","level":3,"score":0.5185176134109497},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4808971881866455},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.4534164071083069},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4175342321395874},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4124971032142639},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40842491388320923},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3618876338005066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3608437776565552},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.33833521604537964},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.3368191421031952},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2798200249671936},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.24430683255195618},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17147758603096008},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1007/s11222-006-6560-y","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-006-6560-y","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:research-information.bris.ac.uk:openaire_cris_publications/03b9ce23-4139-453e-8d07-a8e8059102b4","is_oa":false,"landing_page_url":"https://research-information.bris.ac.uk/en/publications/03b9ce23-4139-453e-8d07-a8e8059102b4","pdf_url":null,"source":{"id":"https://openalex.org/S4306400895","display_name":"Bristol Research (University of Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I36234482","host_organization_name":"University of Bristol","host_organization_lineage":["https://openalex.org/I36234482"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Nunes, MA, Knight, MI & Nason, GP 2006, 'Adaptive lifting for nonparametric regression', Statistics and Computing, vol. 16, pp. 143 - 159.","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.101.232","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.101.232","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.stats.bris.ac.uk/research/stats/reports/2004/0420.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.64.5458","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.64.5458","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.stats.bris.ac.uk/~guy/Research/papers/AdaptLift.pdf","raw_type":"text"},{"id":"pmh:oai:eprints.lancs.ac.uk:71245","is_oa":false,"landing_page_url":"https://eprints.lancs.ac.uk/id/eprint/71245/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401916","display_name":"Lancaster EPrints (Lancaster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67415387","host_organization_name":"Lancaster University","host_organization_lineage":["https://openalex.org/I67415387"],"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":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320360","display_name":"University of Bristol","ror":"https://ror.org/0524sp257"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W67686476","https://openalex.org/W191129667","https://openalex.org/W1488078800","https://openalex.org/W1502400145","https://openalex.org/W1510444525","https://openalex.org/W1555202169","https://openalex.org/W1562293737","https://openalex.org/W1582484699","https://openalex.org/W1625553442","https://openalex.org/W1764522480","https://openalex.org/W1771767353","https://openalex.org/W1864519077","https://openalex.org/W1897167376","https://openalex.org/W1964809923","https://openalex.org/W1967969088","https://openalex.org/W1972163814","https://openalex.org/W1989385078","https://openalex.org/W1991108537","https://openalex.org/W1997180509","https://openalex.org/W2020919250","https://openalex.org/W2040829107","https://openalex.org/W2058576026","https://openalex.org/W2062024414","https://openalex.org/W2065540158","https://openalex.org/W2079724595","https://openalex.org/W2089333192","https://openalex.org/W2095447539","https://openalex.org/W2102214133","https://openalex.org/W2105923830","https://openalex.org/W2106590163","https://openalex.org/W2122675669","https://openalex.org/W2132984323","https://openalex.org/W2143304716","https://openalex.org/W2151567244","https://openalex.org/W2158940042","https://openalex.org/W2160503392","https://openalex.org/W2165506789","https://openalex.org/W2169021240","https://openalex.org/W2169997788","https://openalex.org/W2230804983","https://openalex.org/W2234858179","https://openalex.org/W3005631622","https://openalex.org/W3134221682","https://openalex.org/W4255272544","https://openalex.org/W4285719527","https://openalex.org/W4295332281","https://openalex.org/W4298352105","https://openalex.org/W6631558189","https://openalex.org/W6682546571"],"related_works":["https://openalex.org/W2371096191","https://openalex.org/W4298078907","https://openalex.org/W2952777161","https://openalex.org/W2143053621","https://openalex.org/W2075963752","https://openalex.org/W1997711983","https://openalex.org/W2890138326","https://openalex.org/W2103507103","https://openalex.org/W1577789985","https://openalex.org/W2047056993"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}