{"id":"https://openalex.org/W4402469907","doi":"https://doi.org/10.1080/10618600.2024.2402896","title":"Optimal Decorrelated Score Subsampling for High-Dimensional Generalized Linear Models Under Measurement Constraints","display_name":"Optimal Decorrelated Score Subsampling for High-Dimensional Generalized Linear Models Under Measurement Constraints","publication_year":2024,"publication_date":"2024-09-12","ids":{"openalex":"https://openalex.org/W4402469907","doi":"https://doi.org/10.1080/10618600.2024.2402896"},"language":"en","primary_location":{"id":"doi:10.1080/10618600.2024.2402896","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10618600.2024.2402896","pdf_url":null,"source":{"id":"https://openalex.org/S76159266","display_name":"Journal of Computational and Graphical Statistics","issn_l":"1061-8600","issn":["1061-8600","1537-2715"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational and Graphical Statistics","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/A5061957577","display_name":"Yujing Shao","orcid":null},"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"]},{"id":"https://openalex.org/I4401200345","display_name":"Laboratoire de physique de la mati\u00e8re condens\u00e9e","ror":"https://ror.org/05brss208","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I4401200345","https://openalex.org/I4647051"]}],"countries":["CN","FR"],"is_corresponding":false,"raw_author_name":"Yujing Shao","raw_affiliation_strings":["School of Statistics and Data Science, KLMDASR, LEBPS and LPMC, Nankai University","School of Statistics and Data Science, KLMDASR, LEBPS and LPMC, Nankai University, China"],"affiliations":[{"raw_affiliation_string":"School of Statistics and Data Science, KLMDASR, LEBPS and LPMC, Nankai University","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"School of Statistics and Data Science, KLMDASR, LEBPS and LPMC, Nankai University, China","institution_ids":["https://openalex.org/I205237279","https://openalex.org/I4401200345"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100436119","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0003-2530-883X"},"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"]},{"id":"https://openalex.org/I4401200345","display_name":"Laboratoire de physique de la mati\u00e8re condens\u00e9e","ror":"https://ror.org/05brss208","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I4401200345","https://openalex.org/I4647051"]}],"countries":["CN","FR"],"is_corresponding":true,"raw_author_name":"Lei Wang","raw_affiliation_strings":["School of Statistics and Data Science, KLMDASR, LEBPS and LPMC, Nankai University","School of Statistics and Data Science, KLMDASR, LEBPS and LPMC, Nankai University, China"],"affiliations":[{"raw_affiliation_string":"School of Statistics and Data Science, KLMDASR, LEBPS and LPMC, Nankai University","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"School of Statistics and Data Science, KLMDASR, LEBPS and LPMC, Nankai University, China","institution_ids":["https://openalex.org/I205237279","https://openalex.org/I4401200345"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069315147","display_name":"Heng Lian","orcid":"https://orcid.org/0000-0002-6008-6614"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Heng Lian","raw_affiliation_strings":["Department of Mathematics, City University of Hong Kong","Department of Mathematics, City University of Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of Mathematics, City University of Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100436119"],"corresponding_institution_ids":["https://openalex.org/I205237279","https://openalex.org/I4401200345"],"apc_list":null,"apc_paid":null,"fwci":1.3897,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.82354103,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"34","issue":"2","first_page":"530","last_page":"539"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9994000196456909,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9994000196456909,"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":0.9943000078201294,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9940999746322632,"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/generalized-linear-model","display_name":"Generalized linear model","score":0.6279340386390686},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5116846561431885},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.47857430577278137},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4458165168762207},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43799954652786255},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.41670113801956177},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4130243957042694},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3254246711730957}],"concepts":[{"id":"https://openalex.org/C41587187","wikidata":"https://www.wikidata.org/wiki/Q1501882","display_name":"Generalized linear model","level":2,"score":0.6279340386390686},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5116846561431885},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.47857430577278137},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4458165168762207},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43799954652786255},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.41670113801956177},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4130243957042694},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3254246711730957}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/10618600.2024.2402896","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10618600.2024.2402896","pdf_url":null,"source":{"id":"https://openalex.org/S76159266","display_name":"Journal of Computational and Graphical Statistics","issn_l":"1061-8600","issn":["1061-8600","1537-2715"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational and Graphical Statistics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3508999926","display_name":null,"funder_award_id":"12271272","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"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1559060276","https://openalex.org/W1983320747","https://openalex.org/W2069119359","https://openalex.org/W2078411132","https://openalex.org/W2125536150","https://openalex.org/W2128235479","https://openalex.org/W2135046866","https://openalex.org/W2156543150","https://openalex.org/W2581201870","https://openalex.org/W2596535828","https://openalex.org/W2784068905","https://openalex.org/W2904739162","https://openalex.org/W2955312852","https://openalex.org/W2963798770","https://openalex.org/W2964081784","https://openalex.org/W2964331163","https://openalex.org/W2975245449","https://openalex.org/W3034724369","https://openalex.org/W3037232215","https://openalex.org/W3037977369","https://openalex.org/W3044420422","https://openalex.org/W3087345600","https://openalex.org/W3098453412","https://openalex.org/W3099550161","https://openalex.org/W3103391447","https://openalex.org/W3106361511","https://openalex.org/W3130553195","https://openalex.org/W3209520141","https://openalex.org/W4312164519","https://openalex.org/W4377232834","https://openalex.org/W4382927917","https://openalex.org/W4386847600"],"related_works":["https://openalex.org/W3081465059","https://openalex.org/W1510072949","https://openalex.org/W1969243170","https://openalex.org/W4242077822","https://openalex.org/W4386783521","https://openalex.org/W1556631438","https://openalex.org/W2081875724","https://openalex.org/W2550180129","https://openalex.org/W2900631639","https://openalex.org/W2290516599"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
