{"id":"https://openalex.org/W2468357046","doi":"https://doi.org/10.1142/s0219691316500399","title":"Coefficient-based regularized regression with dependent and unbounded sampling","display_name":"Coefficient-based regularized regression with dependent and unbounded sampling","publication_year":2016,"publication_date":"2016-07-07","ids":{"openalex":"https://openalex.org/W2468357046","doi":"https://doi.org/10.1142/s0219691316500399","mag":"2468357046"},"language":"en","primary_location":{"id":"doi:10.1142/s0219691316500399","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219691316500399","pdf_url":null,"source":{"id":"https://openalex.org/S56986848","display_name":"International Journal of Wavelets Multiresolution and Information Processing","issn_l":"0219-6913","issn":["0219-6913","1793-690X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Wavelets, Multiresolution and Information Processing","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/A5080704476","display_name":"Qin Guo","orcid":"https://orcid.org/0000-0002-5355-5857"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin Guo","raw_affiliation_strings":["School of Mathematical Sciences and LPMC, Nankai University, Tianjin, 300071, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences and LPMC, Nankai University, Tianjin, 300071, P. R. China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010523186","display_name":"Peixin Ye","orcid":"https://orcid.org/0000-0002-4706-3223"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peixin Ye","raw_affiliation_strings":["School of Mathematical Sciences and LPMC, Nankai University, Tianjin, 300071, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences and LPMC, Nankai University, Tianjin, 300071, P. R. China","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I205237279"],"apc_list":null,"apc_paid":null,"fwci":3.953,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.93213035,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"14","issue":"05","first_page":"1650039","last_page":"1650039"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11205","display_name":"Numerical methods in inverse problems","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T11205","display_name":"Numerical methods in inverse problems","score":0.9987999796867371,"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"}},{"id":"https://openalex.org/T11210","display_name":"Mathematical Analysis and Transform Methods","score":0.9945999979972839,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.7945617437362671},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.6018938422203064},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5205893516540527},{"id":"https://openalex.org/keywords/moment","display_name":"Moment (physics)","score":0.5088903903961182},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.490695595741272},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.47136202454566956},{"id":"https://openalex.org/keywords/mixing","display_name":"Mixing (physics)","score":0.46291807293891907},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.44994866847991943},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.4305534362792969},{"id":"https://openalex.org/keywords/carry","display_name":"Carry (investment)","score":0.4237353503704071},{"id":"https://openalex.org/keywords/standard-error","display_name":"Standard error","score":0.4176608920097351},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.41057395935058594}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.7945617437362671},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.6018938422203064},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5205893516540527},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.5088903903961182},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.490695595741272},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.47136202454566956},{"id":"https://openalex.org/C138777275","wikidata":"https://www.wikidata.org/wiki/Q6884054","display_name":"Mixing (physics)","level":2,"score":0.46291807293891907},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.44994866847991943},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4305534362792969},{"id":"https://openalex.org/C2776299755","wikidata":"https://www.wikidata.org/wiki/Q432449","display_name":"Carry (investment)","level":2,"score":0.4237353503704071},{"id":"https://openalex.org/C18747219","wikidata":"https://www.wikidata.org/wiki/Q620994","display_name":"Standard error","level":2,"score":0.4176608920097351},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.41057395935058594},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219691316500399","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219691316500399","pdf_url":null,"source":{"id":"https://openalex.org/S56986848","display_name":"International Journal of Wavelets Multiresolution and Information Processing","issn_l":"0219-6913","issn":["0219-6913","1793-690X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Wavelets, Multiresolution and Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4792167508","display_name":null,"funder_award_id":"11271199","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1970781863","https://openalex.org/W1990746306","https://openalex.org/W1994904367","https://openalex.org/W2004953525","https://openalex.org/W2006118394","https://openalex.org/W2006650550","https://openalex.org/W2021440127","https://openalex.org/W2032882463","https://openalex.org/W2039979433","https://openalex.org/W2045386260","https://openalex.org/W2047278710","https://openalex.org/W2090761569","https://openalex.org/W2092396945","https://openalex.org/W2097285182","https://openalex.org/W2116231267","https://openalex.org/W2125875378","https://openalex.org/W2132816264","https://openalex.org/W2147303334","https://openalex.org/W2156909104","https://openalex.org/W2180617948","https://openalex.org/W2245469773","https://openalex.org/W2248967249","https://openalex.org/W2254442758","https://openalex.org/W2314317680","https://openalex.org/W4299533062","https://openalex.org/W4302564868"],"related_works":["https://openalex.org/W4229867111","https://openalex.org/W2793180915","https://openalex.org/W31220157","https://openalex.org/W2288557197","https://openalex.org/W4233024177","https://openalex.org/W4320301389","https://openalex.org/W2101914902","https://openalex.org/W3174613421","https://openalex.org/W2344099024","https://openalex.org/W2938354773"],"abstract_inverted_index":{"We":[0,17,53],"consider":[1],"the":[2,11,19,25,30,46,61],"coefficient-based":[3],"least":[4],"squares":[5],"regularized":[6],"regression":[7,44],"learning":[8,41],"algorithm":[9,26],"for":[10,43],"strongly":[12],"and":[13,58],"uniformly":[14],"mixing":[15],"samples.":[16],"obtain":[18],"capacity":[20],"independent":[21],"error":[22,62],"bounds":[23],"of":[24,29,40,49],"by":[27],"means":[28],"integral":[31],"operator":[32],"techniques.":[33],"A":[34],"standard":[35],"assumption":[36,57],"in":[37],"theoretical":[38],"study":[39],"algorithms":[42],"is":[45],"uniform":[47],"boundedness":[48,56],"output":[50,65],"sample":[51,66],"values.":[52],"abandon":[54],"this":[55],"carry":[59],"out":[60],"analysis":[63],"with":[64],"values":[67],"satisfying":[68],"a":[69],"generalized":[70],"moment":[71],"hypothesis.":[72]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}