{"id":"https://openalex.org/W4385350715","doi":"https://doi.org/10.1142/s021969132350039x","title":"Robust partially linear trend filtering for regression estimation and structure discovery","display_name":"Robust partially linear trend filtering for regression estimation and structure discovery","publication_year":2023,"publication_date":"2023-07-28","ids":{"openalex":"https://openalex.org/W4385350715","doi":"https://doi.org/10.1142/s021969132350039x"},"language":"en","primary_location":{"id":"doi:10.1142/s021969132350039x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021969132350039x","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/A5072044890","display_name":"Hao Deng","orcid":"https://orcid.org/0000-0002-0331-2427"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]},{"id":"https://openalex.org/I204823248","display_name":"Huazhong Agricultural University","ror":"https://ror.org/023b72294","country_code":"CN","type":"education","lineage":["https://openalex.org/I204823248"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Deng","raw_affiliation_strings":["College of Informatics, Huazhong Agricultural University, Wuhan 430070, P. R. China","Hubei Key Laboratory of Applied Mathematics, Hubei University, Wuhan 430062, P. R. China"],"affiliations":[{"raw_affiliation_string":"College of Informatics, Huazhong Agricultural University, Wuhan 430070, P. R. China","institution_ids":["https://openalex.org/I204823248"]},{"raw_affiliation_string":"Hubei Key Laboratory of Applied Mathematics, Hubei University, Wuhan 430062, P. R. China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074030725","display_name":"Yuxiang Han","orcid":"https://orcid.org/0000-0003-3521-2495"},"institutions":[{"id":"https://openalex.org/I204823248","display_name":"Huazhong Agricultural University","ror":"https://ror.org/023b72294","country_code":"CN","type":"education","lineage":["https://openalex.org/I204823248"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxiang Han","raw_affiliation_strings":["College of Informatics, Huazhong Agricultural University, Wuhan 430070, P. R. China"],"affiliations":[{"raw_affiliation_string":"College of Informatics, Huazhong Agricultural University, Wuhan 430070, P. R. China","institution_ids":["https://openalex.org/I204823248"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010663907","display_name":"Yanfang Tao","orcid":"https://orcid.org/0000-0001-7763-2653"},"institutions":[{"id":"https://openalex.org/I14116566","display_name":"Wuhan Polytechnic University","ror":"https://ror.org/05w0e5j23","country_code":"CN","type":"education","lineage":["https://openalex.org/I14116566"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanfang Tao","raw_affiliation_strings":["Faculty of Data Informatics, Changjiang Polytechnic, Wuhan 430074, P. R. China"],"affiliations":[{"raw_affiliation_string":"Faculty of Data Informatics, Changjiang Polytechnic, Wuhan 430074, P. R. China","institution_ids":["https://openalex.org/I14116566"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5010663907"],"corresponding_institution_ids":["https://openalex.org/I14116566"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09859459,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":"01","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.996399998664856,"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":0.996399998664856,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9865999817848206,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.6141169667243958},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5525222420692444},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5408675074577332},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.467564195394516},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4459965229034424},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.44508928060531616},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4153691232204437},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4087408781051636},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3737800717353821},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37084776163101196},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36531782150268555},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22888049483299255}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.6141169667243958},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5525222420692444},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5408675074577332},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.467564195394516},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4459965229034424},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.44508928060531616},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4153691232204437},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4087408781051636},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3737800717353821},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37084776163101196},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36531782150268555},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22888049483299255},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s021969132350039x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021969132350039x","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":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1560144238","https://openalex.org/W1596493414","https://openalex.org/W1896212383","https://openalex.org/W1964173605","https://openalex.org/W1980611060","https://openalex.org/W2010377830","https://openalex.org/W2030507150","https://openalex.org/W2042089645","https://openalex.org/W2052796123","https://openalex.org/W2056636001","https://openalex.org/W2078214343","https://openalex.org/W2080365013","https://openalex.org/W2087199327","https://openalex.org/W2088870374","https://openalex.org/W2135046866","https://openalex.org/W2153841684","https://openalex.org/W2616052791","https://openalex.org/W2884693019","https://openalex.org/W2978329087","https://openalex.org/W3010140118","https://openalex.org/W3043836048","https://openalex.org/W3098745759","https://openalex.org/W3099936673","https://openalex.org/W3103508041","https://openalex.org/W4245558064"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4390569940","https://openalex.org/W2888392564","https://openalex.org/W4361193272","https://openalex.org/W2809283485","https://openalex.org/W4293768783","https://openalex.org/W31220157","https://openalex.org/W2288557197","https://openalex.org/W4233024177","https://openalex.org/W2101914902"],"abstract_inverted_index":{"Partially":[0,93],"linear":[1,39],"additive":[2],"models":[3],"(PLAMs)":[4],"have":[5,45],"attracted":[6],"much":[7],"attention":[8],"in":[9,21,133],"the":[10,27,35,56,64,84,106,111,120,141,144],"statistical":[11],"machine":[12],"learning":[13],"community":[14],"due":[15],"to":[16,34,63,72,139],"their":[17],"interpretability":[18],"and":[19,24,40,51,68,78,101,110],"flexibility":[20],"data-driven":[22,52],"prediction":[23],"inference.":[25],"Since":[26],"performance":[28],"of":[29,38,86,123,143],"PLAMs":[30],"is":[31,61,69],"closely":[32],"related":[33],"structure":[36,53,102],"information":[37],"nonlinear":[41,114],"components,":[42],"several":[43],"approaches":[44],"been":[46],"proposed":[47,145],"for":[48,98],"regression":[49,66,99],"estimation":[50,100],"discovery.":[54],"However,":[55],"existing":[57],"automatic":[58],"discovery":[59,103],"strategy":[60],"limited":[62],"mean":[65],"framework":[67],"usually":[70],"sensitive":[71],"non-Gaussian":[73],"noises,":[74],"e.g.":[75],"skewed":[76],"noise":[77],"heavy-tailed":[79],"noise.":[80],"To":[81],"further":[82],"improve":[83],"robustness":[85],"PLAMs,":[87],"this":[88],"paper":[89],"proposes":[90],"a":[91],"Robust":[92],"Linear":[94],"Trend":[95],"Filtering":[96],"(RPLTF)":[97],"by":[104],"integrating":[105],"mode-induced":[107],"error":[108,132],"metric":[109],"trend":[112],"filtering-based":[113],"approximation":[115],"into":[116],"regularized":[117],"PLAMs.":[118],"Besides":[119],"computing":[121],"algorithm":[122],"RPLTF,":[124],"we":[125],"establish":[126],"its":[127],"upper":[128],"bound":[129],"on":[130],"generalization":[131],"theory.":[134],"Empirical":[135],"examples":[136],"are":[137],"provided":[138],"validate":[140],"effectiveness":[142],"method.":[146]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}