{"id":"https://openalex.org/W1985651808","doi":"https://doi.org/10.1109/tit.2013.2296784","title":"Partial Gaussian Graphical Model Estimation","display_name":"Partial Gaussian Graphical Model Estimation","publication_year":2014,"publication_date":"2014-01-31","ids":{"openalex":"https://openalex.org/W1985651808","doi":"https://doi.org/10.1109/tit.2013.2296784","mag":"1985651808"},"language":"en","primary_location":{"id":"doi:10.1109/tit.2013.2296784","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2013.2296784","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Theory","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/A5100776794","display_name":"Xiao\u2013Tong Yuan","orcid":"https://orcid.org/0000-0002-7151-8806"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiao-Tong Yuan","raw_affiliation_strings":["Department of Statistics and Biostatistics, Rutgers University Piscataway, NJ, USA","Dept. of Stat. & Biostat., Rutgers Univ., Piscataway, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Statistics and Biostatistics, Rutgers University Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"Dept. of Stat. & Biostat., Rutgers Univ., Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100602481","display_name":"Tong Zhang","orcid":"https://orcid.org/0000-0002-8838-4963"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tong Zhang","raw_affiliation_strings":["Department of Statistics and Biostatistics, Rutgers University Piscataway, NJ, USA","Dept. of Stat. & Biostat., Rutgers Univ., Piscataway, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Statistics and Biostatistics, Rutgers University Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"Dept. of Stat. & Biostat., Rutgers Univ., Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100776794"],"corresponding_institution_ids":["https://openalex.org/I102322142"],"apc_list":null,"apc_paid":null,"fwci":5.0575,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.95458881,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"60","issue":"3","first_page":"1673","last_page":"1687"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9977999925613403,"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":0.9977999925613403,"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/T11236","display_name":"Control Systems and Identification","score":0.9944999814033508,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9937000274658203,"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/smoothing","display_name":"Smoothing","score":0.6081041693687439},{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.5742271542549133},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.5611201524734497},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5563386082649231},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49654513597488403},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.49336162209510803},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47564932703971863},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.4447348117828369},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44061264395713806},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4190000891685486},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.41426095366477966},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3988367021083832},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25682947039604187},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24488165974617004}],"concepts":[{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6081041693687439},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.5742271542549133},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.5611201524734497},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5563386082649231},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49654513597488403},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.49336162209510803},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47564932703971863},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.4447348117828369},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44061264395713806},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4190000891685486},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.41426095366477966},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3988367021083832},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25682947039604187},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24488165974617004},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tit.2013.2296784","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2013.2296784","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Theory","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.760.8750","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.760.8750","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/1209.6419.pdf","raw_type":"text"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-98230","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-98230","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong 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/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:repository.ust.hk:1783.1-98230","is_oa":false,"landing_page_url":"http://www.scopus.com/record/display.url?eid=2-s2.0-84896855799&origin=inward","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong 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/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W143236119","https://openalex.org/W1481263584","https://openalex.org/W1494413412","https://openalex.org/W1560153690","https://openalex.org/W1666447063","https://openalex.org/W1899679829","https://openalex.org/W1974105260","https://openalex.org/W1989060270","https://openalex.org/W1989727964","https://openalex.org/W2010824638","https://openalex.org/W2015696818","https://openalex.org/W2018747370","https://openalex.org/W2030449718","https://openalex.org/W2033222113","https://openalex.org/W2034260606","https://openalex.org/W2037062671","https://openalex.org/W2044600950","https://openalex.org/W2055400003","https://openalex.org/W2081531193","https://openalex.org/W2081746825","https://openalex.org/W2086309650","https://openalex.org/W2097581234","https://openalex.org/W2103955025","https://openalex.org/W2105877514","https://openalex.org/W2113455900","https://openalex.org/W2120340025","https://openalex.org/W2132555912","https://openalex.org/W2137510652","https://openalex.org/W2137892504","https://openalex.org/W2138142480","https://openalex.org/W2147880316","https://openalex.org/W2148289138","https://openalex.org/W2148860875","https://openalex.org/W2150002853","https://openalex.org/W2150102617","https://openalex.org/W2151128232","https://openalex.org/W2161920970","https://openalex.org/W2167732364","https://openalex.org/W2170866857","https://openalex.org/W2763292376","https://openalex.org/W2797068740","https://openalex.org/W3004306929","https://openalex.org/W3098335816","https://openalex.org/W3098834468","https://openalex.org/W3101651037","https://openalex.org/W3101782091","https://openalex.org/W3103354362","https://openalex.org/W3103368540","https://openalex.org/W3105340263","https://openalex.org/W3105776335","https://openalex.org/W3106319742","https://openalex.org/W4250589301","https://openalex.org/W4293052541","https://openalex.org/W4385628969","https://openalex.org/W6637249095","https://openalex.org/W6640015824","https://openalex.org/W6677029453","https://openalex.org/W6680399416","https://openalex.org/W6680564993","https://openalex.org/W6681871618","https://openalex.org/W6681875376","https://openalex.org/W6682082992","https://openalex.org/W6682227116","https://openalex.org/W6684986341"],"related_works":["https://openalex.org/W2383807498","https://openalex.org/W1978572805","https://openalex.org/W1997992934","https://openalex.org/W2504004674","https://openalex.org/W1987225439","https://openalex.org/W4238188170","https://openalex.org/W2125114371","https://openalex.org/W2149980199","https://openalex.org/W2019977573","https://openalex.org/W1595229445"],"abstract_inverted_index":{"This":[0],"paper":[1],"studies":[2],"the":[3],"partial":[4],"estimation":[5,42],"of":[6],"Gaussian":[7],"graphical":[8],"models":[9],"from":[10],"high-dimensional":[11],"empirical":[12,55],"observations.":[13],"We":[14],"derive":[15],"a":[16,37],"convex":[17],"formulation":[18],"for":[19,47],"this":[20],"problem":[21],"using":[22],"<formula":[23],"formulatype=\"inline\"":[24],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[25],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[26],"<tex":[27],"Notation=\"TeX\">$\\ell_{1}$</tex></formula>":[28],"-regularized":[29],"maximum-likelihood":[30],"estimation,":[31],"which":[32],"can":[33,44],"be":[34,45],"solved":[35],"via":[36],"smoothing":[38],"approximation":[39],"algorithm.":[40],"Statistical":[41],"performance":[43,56],"established":[46],"our":[48],"method.":[49],"The":[50],"proposed":[51],"approach":[52],"has":[53],"competitive":[54],"compared":[57],"with":[58],"existing":[59],"methods,":[60],"as":[61],"demonstrated":[62],"by":[63],"various":[64],"experiments":[65],"on":[66],"synthetic":[67],"and":[68],"real":[69],"data":[70],"sets.":[71]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}