{"id":"https://openalex.org/W1966315074","doi":"https://doi.org/10.1007/s11222-014-9517-6","title":"Sparse reduced-rank regression with covariance estimation","display_name":"Sparse reduced-rank regression with covariance estimation","publication_year":2014,"publication_date":"2014-12-08","ids":{"openalex":"https://openalex.org/W1966315074","doi":"https://doi.org/10.1007/s11222-014-9517-6","mag":"1966315074"},"language":"en","primary_location":{"id":"doi:10.1007/s11222-014-9517-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-014-9517-6","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/A5091442724","display_name":"Lisha Chen","orcid":"https://orcid.org/0000-0001-8980-5275"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Lisha Chen","raw_affiliation_strings":["Quantitative Methodologies, GE Captital, 601 Main Ave, Norwalk, CT, 06851, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Quantitative Methodologies, GE Captital, 601 Main Ave, Norwalk, CT, 06851, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101462939","display_name":"Jianhua Z. Huang","orcid":"https://orcid.org/0009-0008-3950-0500"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]},{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Jianhua Z. Huang","raw_affiliation_strings":["Department of Statistics, Texas A&M University, College Station, TX, 77843-3143, USA","The School of Statistics, Renmin University of China, No. 59 Zhongguancun Street, Haidian District, Beijing, 100872, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Texas A&M University, College Station, TX, 77843-3143, USA","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"The School of Statistics, Renmin University of China, No. 59 Zhongguancun Street, Haidian District, Beijing, 100872, China","institution_ids":["https://openalex.org/I78988378"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5091442724"],"corresponding_institution_ids":[],"apc_list":{"value":2690,"currency":"USD","value_usd":2690},"apc_paid":null,"fwci":2.5514,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.87304527,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"26","issue":"1-2","first_page":"461","last_page":"470"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9986000061035156,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9986000061035156,"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"}},{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9922999739646912,"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":0.9861000180244446,"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/covariance","display_name":"Covariance","score":0.6795516014099121},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5892630815505981},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5744127035140991},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5605984926223755},{"id":"https://openalex.org/keywords/estimation-of-covariance-matrices","display_name":"Estimation of covariance matrices","score":0.5220580101013184},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5195770263671875},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5115228891372681},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.4799959361553192},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.46670010685920715},{"id":"https://openalex.org/keywords/regression-diagnostic","display_name":"Regression diagnostic","score":0.4471396505832672},{"id":"https://openalex.org/keywords/covariance-function","display_name":"Covariance function","score":0.42074811458587646},{"id":"https://openalex.org/keywords/bayesian-multivariate-linear-regression","display_name":"Bayesian multivariate linear regression","score":0.3838339149951935},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.35892626643180847},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33541953563690186}],"concepts":[{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.6795516014099121},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5892630815505981},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5744127035140991},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5605984926223755},{"id":"https://openalex.org/C180877172","wikidata":"https://www.wikidata.org/wiki/Q5401390","display_name":"Estimation of covariance matrices","level":3,"score":0.5220580101013184},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5195770263671875},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5115228891372681},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4799959361553192},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.46670010685920715},{"id":"https://openalex.org/C57381214","wikidata":"https://www.wikidata.org/wiki/Q55631393","display_name":"Regression diagnostic","level":4,"score":0.4471396505832672},{"id":"https://openalex.org/C137250428","wikidata":"https://www.wikidata.org/wiki/Q5178897","display_name":"Covariance function","level":3,"score":0.42074811458587646},{"id":"https://openalex.org/C64946054","wikidata":"https://www.wikidata.org/wiki/Q4874476","display_name":"Bayesian multivariate linear regression","level":3,"score":0.3838339149951935},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.35892626643180847},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33541953563690186},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s11222-014-9517-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-014-9517-6","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:repository.kaust.edu.sa:10754/623594","is_oa":false,"landing_page_url":"http://hdl.handle.net/10754/623594","pdf_url":null,"source":{"id":"https://openalex.org/S4306401596","display_name":"King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I71920554","host_organization_name":"King Abdullah University of Science and Technology","host_organization_lineage":["https://openalex.org/I71920554"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320322320","display_name":"King Abdullah University of Science and Technology","ror":"https://ror.org/01q3tbs38"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1563640319","https://openalex.org/W1821811819","https://openalex.org/W2025983204","https://openalex.org/W2038381734","https://openalex.org/W2045022844","https://openalex.org/W2045220410","https://openalex.org/W2054121219","https://openalex.org/W2057122525","https://openalex.org/W2067414891","https://openalex.org/W2081297271","https://openalex.org/W2081531193","https://openalex.org/W2081746825","https://openalex.org/W2101593431","https://openalex.org/W2103358330","https://openalex.org/W2105760337","https://openalex.org/W2112895071","https://openalex.org/W2125536150","https://openalex.org/W2131230871","https://openalex.org/W2132555912","https://openalex.org/W2138019504","https://openalex.org/W2141366416","https://openalex.org/W2161082510","https://openalex.org/W2492307518","https://openalex.org/W2586353914","https://openalex.org/W2949427672","https://openalex.org/W3098453412","https://openalex.org/W3102567422","https://openalex.org/W3103211861","https://openalex.org/W3147070131","https://openalex.org/W4251038355"],"related_works":["https://openalex.org/W2887132723","https://openalex.org/W2921280830","https://openalex.org/W2756533552","https://openalex.org/W1987404909","https://openalex.org/W1561790410","https://openalex.org/W2018001152","https://openalex.org/W4309794518","https://openalex.org/W2258123186","https://openalex.org/W4311761947","https://openalex.org/W2109377650"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
