{"id":"https://openalex.org/W3125878009","doi":"https://doi.org/10.47836/pjst.29.1.11","title":"Elastic-Net Regression based on Empirical Mode Decomposition for Multivariate Predictors","display_name":"Elastic-Net Regression based on Empirical Mode Decomposition for Multivariate Predictors","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3125878009","doi":"https://doi.org/10.47836/pjst.29.1.11","mag":"3125878009"},"language":"en","primary_location":{"id":"doi:10.47836/pjst.29.1.11","doi":"https://doi.org/10.47836/pjst.29.1.11","is_oa":true,"landing_page_url":"https://doi.org/10.47836/pjst.29.1.11","pdf_url":"http://www.pertanika.upm.edu.my/resources/files/Pertanika PAPERS/JST Vol. 29 (1) Jan. 2021/11 JST-2054-2020.pdf","source":{"id":"https://openalex.org/S2765043956","display_name":"Pertanika journal of science & technology","issn_l":"0128-7680","issn":["0128-7680","2231-8526"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["dongbi-d","norway-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4310321046","host_organization_name":"University of Putra Malaysia","host_organization_lineage":["https://openalex.org/P4310321046"],"host_organization_lineage_names":["University of Putra Malaysia"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pertanika Journal of Science and Technology","raw_type":"journal-article"},"parent_works":[],"lineage":["https://openalex.org/W3125878009"],"child_works_count":0,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"http://www.pertanika.upm.edu.my/resources/files/Pertanika PAPERS/JST Vol. 29 (1) Jan. 2021/11 JST-2054-2020.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038163635","display_name":"Abdullah S. Al-Jawarneh","orcid":"https://orcid.org/0000-0001-7684-9017","observed_orcids":["https://orcid.org/0000-0001-7684-9017"]},"institutions":[{"id":"https://openalex.org/I139322472","display_name":"Universiti Sains Malaysia","ror":"https://ror.org/02rgb2k63","country_code":"MY","type":"education","lineage":["https://openalex.org/I139322472"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Abdullah Suleiman Al-Jawarneh","raw_affiliation_strings":["School of Mathematical Sciences, Universiti Sains Malaysia, 11800 USM, Penang, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Universiti Sains Malaysia, 11800 USM, Penang, Malaysia","institution_ids":["https://openalex.org/I139322472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019709998","display_name":"Mohd Tahir Ismail","orcid":"https://orcid.org/0000-0003-2747-054X","observed_orcids":["https://orcid.org/0000-0003-2747-054X"]},"institutions":[{"id":"https://openalex.org/I139322472","display_name":"Universiti Sains Malaysia","ror":"https://ror.org/02rgb2k63","country_code":"MY","type":"education","lineage":["https://openalex.org/I139322472"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Mohd. Tahir Ismail","raw_affiliation_strings":["School of Mathematical Sciences, Universiti Sains Malaysia, 11800 USM, Penang, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Universiti Sains Malaysia, 11800 USM, Penang, Malaysia","institution_ids":["https://openalex.org/I139322472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139322472"],"apc_list":null,"apc_paid":null,"fwci":0.3221,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.54887575,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":"29","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.5541999936103821,"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"}},"topics":[{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.5541999936103821,"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/T10136","display_name":"Statistical Methods and Inference","score":0.31450000405311584,"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/T13141","display_name":"Statistical Methods and Applications","score":0.062300000339746475,"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/empirical-mode-decomposition","display_name":"empirical mode decomposition","score":0.8870000243186951},{"id":"https://openalex.org/keywords/elastic-net","display_name":"elastic net","score":0.9890000224113464},{"id":"https://openalex.org/keywords/multicollinearity","display_name":"multicollinearity","score":0.9229999780654907},{"id":"https://openalex.org/keywords/intrinsic-mode-function","display_name":"intrinsic mode functions","score":0.9879999756813049},{"id":"https://openalex.org/keywords/time-scale-decomposition","display_name":"time-scale decomposition","score":0.5540000200271606},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.7620000243186951},{"id":"https://openalex.org/keywords/nonlinear-non-stationary-signals","display_name":"nonlinear non-stationary signals","score":0.8410000205039978},{"id":"https://openalex.org/keywords/bias-variance-trade-off","display_name":"bias-variance trade-off","score":0.7509999871253967}],"concepts":[{"id":"https://openalex.org/C189285262","wikidata":"https://www.wikidata.org/wiki/Q1332350","display_name":"Multicollinearity","level":3,"score":0.948960542678833},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.6008172631263733},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5790631175041199},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5779439210891724},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.5144301056861877},{"id":"https://openalex.org/C152732102","wikidata":"https://www.wikidata.org/wiki/Q13434396","display_name":"Variance inflation factor","level":4,"score":0.4776436388492584},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4647860527038574},{"id":"https://openalex.org/C64946054","wikidata":"https://www.wikidata.org/wiki/Q4874476","display_name":"Bayesian multivariate linear regression","level":3,"score":0.4219055771827698},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4218893051147461},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4161880314350128},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4150368571281433},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.34674346446990967},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.47836/pjst.29.1.11","doi":"https://doi.org/10.47836/pjst.29.1.11","is_oa":true,"landing_page_url":"https://doi.org/10.47836/pjst.29.1.11","pdf_url":"http://www.pertanika.upm.edu.my/resources/files/Pertanika PAPERS/JST Vol. 29 (1) Jan. 2021/11 JST-2054-2020.pdf","source":{"id":"https://openalex.org/S2765043956","display_name":"Pertanika journal of science & technology","issn_l":"0128-7680","issn":["0128-7680","2231-8526"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["dongbi-d","norway-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4310321046","host_organization_name":"University of Putra Malaysia","host_organization_lineage":["https://openalex.org/P4310321046"],"host_organization_lineage_names":["University of Putra Malaysia"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pertanika Journal of Science and Technology","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.47836/pjst.29.1.11","doi":"https://doi.org/10.47836/pjst.29.1.11","is_oa":true,"landing_page_url":"https://doi.org/10.47836/pjst.29.1.11","pdf_url":"http://www.pertanika.upm.edu.my/resources/files/Pertanika PAPERS/JST Vol. 29 (1) Jan. 2021/11 JST-2054-2020.pdf","source":{"id":"https://openalex.org/S2765043956","display_name":"Pertanika journal of science & technology","issn_l":"0128-7680","issn":["0128-7680","2231-8526"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["dongbi-d","norway-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4310321046","host_organization_name":"University of Putra Malaysia","host_organization_lineage":["https://openalex.org/P4310321046"],"host_organization_lineage_names":["University of Putra Malaysia"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pertanika Journal of Science and Technology","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3125878009.pdf","grobid_xml":"https://content.openalex.org/works/W3125878009.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1973952389","https://openalex.org/W2006626316","https://openalex.org/W2007221293","https://openalex.org/W2032871006","https://openalex.org/W2047028564","https://openalex.org/W2084738631","https://openalex.org/W2098494687","https://openalex.org/W2111269200","https://openalex.org/W2122825543","https://openalex.org/W2135046866","https://openalex.org/W2162111454","https://openalex.org/W2605966122","https://openalex.org/W2751868120","https://openalex.org/W2775425027","https://openalex.org/W2797532987","https://openalex.org/W2883334538","https://openalex.org/W2896600081","https://openalex.org/W3008540950","https://openalex.org/W3153311954","https://openalex.org/W4214625488","https://openalex.org/W4234698323","https://openalex.org/W4249691579","https://openalex.org/W4294541781"],"related_works":["https://openalex.org/W3131454301","https://openalex.org/W3008540950","https://openalex.org/W7009274886","https://openalex.org/W4324290257","https://openalex.org/W4415109597","https://openalex.org/W7032902989","https://openalex.org/W7117663643","https://openalex.org/W2032871006","https://openalex.org/W4402895082","https://openalex.org/W4210804568"],"abstract_inverted_index":{"The":[0,100,132,150],"empirical":[1],"mode":[2,29],"decomposition":[3,83,120],"(EMD)":[4],"method":[5,44,74,113,134,152],"is":[6,40,114],"used":[7,45],"to":[8,46,80],"decompose":[9],"the":[10,54,59,63,69,72,77,82,90,94,103,111,119,123,130,137,142,146,155,162],"non-stationary":[11],"and":[12,32,52,106,140,148],"nonlinear":[13],"signal":[14],"into":[15],"a":[16,41],"finite":[17],"set":[18],"of":[19,71,85,102,117,127,157],"orthogonal":[20],"non-overlapping":[21],"time":[22],"scale":[23],"components":[24,31,84,121],"that":[25,57,110],"include":[26],"several":[27],"intrinsic":[28],"function":[30],"one":[33],"residual":[34],"component.":[35],"Elastic":[36],"net":[37],"(ELN)":[38],"regression":[39,158,164],"statistical":[42],"penalized":[43],"address":[47],"multicollinearity":[48,98,128],"among":[49,129],"predictor":[50,87],"variables":[51,56,88],"identify":[53,81],"necessary":[55],"have":[58],"most":[60,91],"effect":[61,92],"on":[62,76,93],"response":[64,95],"variable.":[65],"This":[66],"study":[67],"proposed":[68,133],"use":[70],"ELN":[73],"based":[75],"EMD":[78],"algorithm":[79],"multivariate":[86],"with":[89,122,161],"variable":[96],"under":[97],"problems.":[99],"results":[101],"numerical":[104],"experiments":[105],"real":[107],"data":[108],"confirmed":[109],"EMD-ELN":[112,151],"highly":[115],"capable":[116],"identifying":[118],"presence":[124],"or":[125],"absence":[126],"components.":[131],"also":[135,153],"achieved":[136],"best":[138],"estimation":[139],"reached":[141],"optimal":[143],"balance":[144],"between":[145],"variance":[147],"bias.":[149],"improved":[154],"accuracy":[156],"modeling":[159],"compared":[160],"traditional":[163],"models.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2021-02-01T00:00:00"}
