{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,16]],"date-time":"2025-10-16T07:05:55Z","timestamp":1760598355903,"version":"3.41.0"},"reference-count":24,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T00:00:00Z","timestamp":1747180800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Approximate Reasoning"],"published-print":{"date-parts":[[2025,10]]},"DOI":"10.1016\/j.ijar.2025.109468","type":"journal-article","created":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T15:45:03Z","timestamp":1747237503000},"page":"109468","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":1,"special_numbering":"C","title":["Latent Gaussian and H\u00fcsler\u2013Reiss graphical models with Golazo penalty"],"prefix":"10.1016","volume":"185","author":[{"given":"Ignacio","family":"Echave-Sustaeta Rodr\u00edguez","sequence":"first","affiliation":[]},{"given":"Frank","family":"R\u00f6ttger","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.ijar.2025.109468_br0010","first-page":"367","article-title":"Covariance matrix estimation under total positivity for portfolio selection","volume":"20","author":"Agrawal","year":"2020","journal-title":"J. Financ. Econom."},{"key":"10.1016\/j.ijar.2025.109468_br0020","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1007\/s10589-017-9971-0","article-title":"Generalized symmetric ADMM for separable convex optimization","volume":"70","author":"Bai","year":"2017","journal-title":"Comput. Optim. Appl."},{"key":"10.1016\/j.ijar.2025.109468_br0030","first-page":"1935","article-title":"Latent variable graphical model selection via convex optimization","volume":"40","author":"Chandrasekaran","year":"2012","journal-title":"Ann. Stat."},{"key":"10.1016\/j.ijar.2025.109468_br0040","doi-asserted-by":"crossref","first-page":"572","DOI":"10.1137\/090761793","article-title":"Rank-sparsity incoherence for matrix decomposition","volume":"21","author":"Chandrasekaran","year":"2011","journal-title":"SIAM J. Optim."},{"key":"10.1016\/j.ijar.2025.109468_br0050","article-title":"Linearized symmetric multi-block ADMM with indefinite proximal regularization and optimal proximal parameter","volume":"57. URL","author":"Chang","year":"2020","journal-title":"Calcolo"},{"year":"2022","series-title":"Graph geometry from effective resistances","author":"Devriendt","key":"10.1016\/j.ijar.2025.109468_br0060"},{"key":"10.1016\/j.ijar.2025.109468_br0070","series-title":"Proceedings of the 12th International Conference on Probabilistic Graphical Models","first-page":"199","article-title":"Latent Gaussian graphical models with golazo penalty","author":"Echave-Sustaeta Rodr\u00edguez","year":"2024"},{"author":"Engelke","key":"10.1016\/j.ijar.2025.109468_br0090"},{"key":"10.1016\/j.ijar.2025.109468_br0100","doi-asserted-by":"crossref","first-page":"871","DOI":"10.1111\/rssb.12355","article-title":"Graphical models for extremes","volume":"82","author":"Engelke","year":"2020","journal-title":"J. R. Stat. Soc., Ser. B Stat. Methodol."},{"author":"Engelke","key":"10.1016\/j.ijar.2025.109468_br0110"},{"key":"10.1016\/j.ijar.2025.109468_br0120","doi-asserted-by":"crossref","first-page":"2055","DOI":"10.1111\/rssb.12556","article-title":"Structure learning for extremal tree models","volume":"84","author":"Engelke","year":"2022","journal-title":"J. R. Stat. Soc., Ser. B Stat. Methodol."},{"key":"10.1016\/j.ijar.2025.109468_br0130","doi-asserted-by":"crossref","first-page":"521","DOI":"10.1214\/08-AOAS215","article-title":"Network exploration via the adaptive LASSO and SCAD penalties","volume":"3","author":"Fan","year":"2009","journal-title":"Ann. Appl. Stat."},{"key":"10.1016\/j.ijar.2025.109468_br0140","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1080\/01621459.2024.2371978","article-title":"Statistical inference for H\u00fcsler\u2013Reiss graphical models through matrix completions","author":"Hentschel","year":"2024","journal-title":"J. Am. Stat. Assoc."},{"key":"10.1016\/j.ijar.2025.109468_br0150","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/S0092-8674(00)00015-5","article-title":"Functional discovery via a compendium of expression profiles","volume":"102","author":"Hughes","year":"2000","journal-title":"Cell"},{"key":"10.1016\/j.ijar.2025.109468_br0160","doi-asserted-by":"crossref","first-page":"1835","DOI":"10.1214\/17-AOS1668","article-title":"Maximum likelihood estimation in Gaussian models under total positivity","volume":"47","author":"Lauritzen","year":"2019","journal-title":"Ann. Stat."},{"key":"10.1016\/j.ijar.2025.109468_br0170","doi-asserted-by":"crossref","first-page":"3009","DOI":"10.1214\/22-AOS2219","article-title":"Locally associated graphical models and mixed convex exponential families","volume":"50","author":"Lauritzen","year":"2022","journal-title":"Ann. Stat."},{"key":"10.1016\/j.ijar.2025.109468_br0180","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1016\/j.neucom.2023.02.007","article-title":"Graph learning for latent-variable Gaussian graphical models under Laplacian constraints","volume":"532","author":"Li","year":"2023","journal-title":"Neurocomputing"},{"key":"10.1016\/j.ijar.2025.109468_br0190","doi-asserted-by":"crossref","first-page":"2172","DOI":"10.1162\/NECO_a_00379","article-title":"Alternating direction methods for latent variable Gaussian graphical model selection","volume":"25","author":"Ma","year":"2013","journal-title":"Neural Comput."},{"key":"10.1016\/j.ijar.2025.109468_br0200","doi-asserted-by":"crossref","first-page":"1436","DOI":"10.1214\/009053606000000281","article-title":"High-dimensional graphs and variable selection with the lasso","volume":"34","author":"Meinshausen","year":"2006","journal-title":"Ann. Stat."},{"key":"10.1016\/j.ijar.2025.109468_br0210","doi-asserted-by":"crossref","first-page":"917","DOI":"10.3150\/bj\/1161614952","article-title":"Multivariate generalized Pareto distributions","volume":"12","author":"Rootz\u00e9n","year":"2006","journal-title":"Bernoulli"},{"key":"10.1016\/j.ijar.2025.109468_br0220","doi-asserted-by":"crossref","first-page":"962","DOI":"10.1214\/23-AOS2272","article-title":"Total positivity in multivariate extremes","volume":"51","author":"R\u00f6ttger","year":"2023","journal-title":"Ann. Stat."},{"key":"10.1016\/j.ijar.2025.109468_br0250","series-title":"Proceedings of the 11th International Conference on Probabilistic Graphical Models","first-page":"85","article-title":"Robust estimation of Laplacian constrained Gaussian graphical models with trimmed non-convex regularization","author":"Vargas Vieyra","year":"2022"},{"key":"10.1016\/j.ijar.2025.109468_br0260","series-title":"Advances in Neural Information Processing Systems","first-page":"7101","article-title":"Nonconvex sparse graph learning under Laplacian constrained graphical model","author":"Ying","year":"2020"},{"key":"10.1016\/j.ijar.2025.109468_br0270","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1093\/biomet\/asm018","article-title":"Model selection and estimation in the Gaussian graphical model","volume":"94","author":"Yuan","year":"2007","journal-title":"Biometrika"}],"container-title":["International Journal of Approximate Reasoning"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0888613X25001094?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0888613X25001094?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,6,6]],"date-time":"2025-06-06T14:52:08Z","timestamp":1749221528000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0888613X25001094"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10]]},"references-count":24,"alternative-id":["S0888613X25001094"],"URL":"https:\/\/doi.org\/10.1016\/j.ijar.2025.109468","relation":{},"ISSN":["0888-613X"],"issn-type":[{"type":"print","value":"0888-613X"}],"subject":[],"published":{"date-parts":[[2025,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Latent Gaussian and H\u00fcsler\u2013Reiss graphical models with Golazo penalty","name":"articletitle","label":"Article Title"},{"value":"International Journal of Approximate Reasoning","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ijar.2025.109468","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 The Authors. Published by Elsevier Inc.","name":"copyright","label":"Copyright"}],"article-number":"109468"}}