{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T00:07:40Z","timestamp":1771632460831,"version":"3.50.1"},"reference-count":67,"publisher":"Informa UK Limited","issue":"4","license":[{"start":{"date-parts":[[2025,2,11]],"date-time":"2025-02-11T00:00:00Z","timestamp":1739232000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CCF-1934568"],"award-info":[{"award-number":["CCF-1934568"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["DMS-1916125"],"award-info":[{"award-number":["DMS-1916125"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["DMS-2113605"],"award-info":[{"award-number":["DMS-2113605"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["DMS-2113404"],"award-info":[{"award-number":["DMS-2113404"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["DMS-2210337"],"award-info":[{"award-number":["DMS-2210337"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["DMS-2210388"],"award-info":[{"award-number":["DMS-2210388"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.tandfonline.com"],"crossmark-restriction":true},"short-container-title":["Journal of Computational and Graphical Statistics"],"published-print":{"date-parts":[[2025,10,2]]},"DOI":"10.1080\/10618600.2024.2441165","type":"journal-article","created":{"date-parts":[[2024,12,18]],"date-time":"2024-12-18T11:36:38Z","timestamp":1734521798000},"page":"1214-1225","update-policy":"https:\/\/doi.org\/10.1080\/tandf_crossmark_01","source":"Crossref","is-referenced-by-count":1,"title":["AutoGFI: Streamlined Generalized Fiducial Inference for Modern Inference Problems in Models with Additive Errors"],"prefix":"10.1080","volume":"34","author":[{"given":"Wei","family":"Du","sequence":"first","affiliation":[{"name":"Department of Statistics, University of California","place":["Davis, Davis"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4164-0173","authenticated-orcid":false,"given":"Jan","family":"Hannig","sequence":"additional","affiliation":[{"name":"Department of Statistics and Operations Research, University of North Carolina at Chapel Hill","place":["Chapel Hill"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7067-405X","authenticated-orcid":false,"given":"Thomas C. M.","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Statistics, University of California","place":["Davis, Davis"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi","family":"Su","sequence":"additional","affiliation":[{"name":"Department of Statistics, University of California","place":["Davis, Davis"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chunzhe","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Statistics, University of California","place":["Davis, Davis"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"301","published-online":{"date-parts":[[2025,2,11]]},"reference":[{"key":"e_1_3_2_2_1","doi-asserted-by":"publisher","DOI":"10.1093\/genetics\/162.4.2025"},{"key":"e_1_3_2_3_1","volume-title":"Proceedings of KDD Cup and Workshop","author":"Bennett J.","year":"2007","unstructured":"Bennett, J., and Lanning, S. (2007), \u201cThe Netflix Prize,\u201d in Proceedings of KDD Cup and Workshop (Vol. 2007), New York, NY, USA."},{"key":"e_1_3_2_4_1","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/asx008"},{"key":"e_1_3_2_5_1","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511804441"},{"key":"e_1_3_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/1970392.1970395"},{"key":"e_1_3_2_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2009.2035722"},{"key":"e_1_3_2_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10208-009-9045-5"},{"key":"e_1_3_2_9_1","volume-title":"Statistical Inference","author":"Casella G.","year":"2002","unstructured":"Casella, G., and Berger, R. L. (2002), Statistical Inference (Vol. 2), Pacific Grove, CA: Duxbury."},{"key":"e_1_3_2_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2004.52"},{"key":"e_1_3_2_11_1","doi-asserted-by":"publisher","DOI":"10.1137\/19m1290000"},{"key":"e_1_3_2_12_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1910053116"},{"key":"e_1_3_2_13_1","unstructured":"Chen Y. and Wainwright M. J. (2015) \u201cFast Low-Rank Estimation by Projected Gradient Descent: General Statistical and Algorithmic Guarantees \u201d arXiv preprint arXiv:1509.03025."},{"key":"e_1_3_2_14_1","unstructured":"Cui Y. and Hannig J. (2024) \u201cDemystifying Inferential Models: A Fiducial Perspective \u201d Statistical Science. https:\/\/arxiv.org\/abs\/2205.05612 to appear accepted in January 2024."},{"key":"e_1_3_2_15_1","doi-asserted-by":"publisher","DOI":"10.1198\/016214508000000229"},{"key":"e_1_3_2_16_1","doi-asserted-by":"publisher","DOI":"10.1214\/00-AOAS223"},{"key":"e_1_3_2_17_1","doi-asserted-by":"publisher","DOI":"10.1201\/9780429246593"},{"key":"e_1_3_2_18_1","doi-asserted-by":"publisher","DOI":"10.1098\/rsta.1922.0009"},{"key":"e_1_3_2_19_1","doi-asserted-by":"publisher","DOI":"10.1017\/S0305004100009580"},{"key":"e_1_3_2_20_1","doi-asserted-by":"publisher","DOI":"10.1017\/S0305004100016297"},{"key":"e_1_3_2_21_1","first-page":"343","volume-title":"Proceedings of the Royal Society of London, Series A","volume":"139","author":"Fisher R. A.","year":"1933","unstructured":"Fisher, R. A. (1933), \u201cThe Concepts of Inverse Probability and Fiducial Probability Referring to Unknown Parameters,\u201d Proceedings of the Royal Society of London, Series A, 139, 343\u2013348."},{"key":"e_1_3_2_22_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1469-1809.1935.tb02120.x"},{"key":"e_1_3_2_23_1","unstructured":"Frostig R. Johnson M. and Leary C. (2018) \u201cCompiling Machine Learning Programs via High-Level Tracing \u201d available at https:\/\/mlsys.org\/Conferences\/doc\/2018\/146.pdf."},{"key":"e_1_3_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2011.2104999"},{"key":"e_1_3_2_25_1","first-page":"2733","article-title":"\u201cBayesian Tensor Regression,\u201d","volume":"18","author":"Guhaniyogi R.","year":"2017","unstructured":"Guhaniyogi, R., Qamar, S., and Dunson, D. B. (2017), \u201cBayesian Tensor Regression,\u201d The Journal of Machine Learning Research, 18, 2733\u20132763.","journal-title":"The Journal of Machine Learning Research"},{"key":"e_1_3_2_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2165291"},{"key":"e_1_3_2_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2010.5490076"},{"key":"e_1_3_2_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2023.3235662"},{"key":"e_1_3_2_29_1","first-page":"491","article-title":"\u201cOn Generalized Fiducial Inference,\u201d","volume":"19","author":"Hannig J.","year":"2009","unstructured":"Hannig, J. (2009), \u201cOn Generalized Fiducial Inference,\u201d Statistica Sinica, 19, 491\u2013544. http:\/\/www.jstor.org\/stable\/24308841.","journal-title":"Statistica Sinica"},{"key":"e_1_3_2_30_1","first-page":"489","article-title":"\u201cGeneralized Fiducial Inference via Discretization,\u201d","volume":"23","author":"Hannig J.","year":"2013","unstructured":"Hannig, J. (2013), \u201cGeneralized Fiducial Inference via Discretization,\u201d Statistica Sinica, 23, 489\u2013514.","journal-title":"Statistica Sinica"},{"key":"e_1_3_2_31_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2016.1165102"},{"key":"e_1_3_2_32_1","doi-asserted-by":"publisher","DOI":"10.1198\/016214505000000736"},{"key":"e_1_3_2_33_1","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/asp050"},{"key":"e_1_3_2_34_1","doi-asserted-by":"publisher","DOI":"10.1201\/9780429463976-14"},{"key":"e_1_3_2_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2010.2046205"},{"key":"e_1_3_2_36_1","doi-asserted-by":"publisher","DOI":"10.1137\/07070111X"},{"key":"e_1_3_2_37_1","doi-asserted-by":"publisher","DOI":"10.1214\/11-AOS894"},{"key":"e_1_3_2_38_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2014.931237"},{"key":"e_1_3_2_39_1","doi-asserted-by":"publisher","DOI":"10.1214\/18-AOAS1205"},{"key":"e_1_3_2_40_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12561-018-9215-6"},{"key":"e_1_3_2_41_1","doi-asserted-by":"publisher","DOI":"10.1093\/jrsssb\/qkae082"},{"key":"e_1_3_2_42_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11336-015-9492-7"},{"key":"e_1_3_2_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/1935826.1935877"},{"key":"e_1_3_2_44_1","unstructured":"Majumder A. P. and Hannig J. (2016) \u201cHigher Order Asymptotics of Generalized Fiducial Distribution \u201d arXiv preprint arXiv: 1608.07186."},{"key":"e_1_3_2_45_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2012.747960"},{"key":"e_1_3_2_46_1","doi-asserted-by":"publisher","DOI":"10.1214\/10-STS322"},{"key":"e_1_3_2_47_1","doi-asserted-by":"publisher","DOI":"10.1002\/sim.1346"},{"key":"e_1_3_2_48_1","first-page":"1665","article-title":"\u201cRestricted Strong Convexity and Weighted Matrix Completion: Optimal Bounds with Noise,\u201d","volume":"13","author":"Negahban S.","year":"2012","unstructured":"Negahban, S., and Wainwright, M. J. (2012), \u201cRestricted Strong Convexity and Weighted Matrix Completion: Optimal Bounds with Noise,\u201d The Journal of Machine Learning Research, 13, 1665\u20131697.","journal-title":"The Journal of Machine Learning Research"},{"key":"e_1_3_2_49_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107516"},{"key":"e_1_3_2_50_1","first-page":"219","article-title":"\u201cSoft Tensor Regression,\u201d","volume":"22","author":"Papadogeorgou G.","year":"2021","unstructured":"Papadogeorgou, G., Zhang, Z., and Dunson, D. B. (2021), \u201cSoft Tensor Regression,\u201d Journal of Machine Learning Research, 22, 219\u20131.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_51_1","first-page":"2107","volume-title":"Advances in Neural Information Processing Systems","author":"Rao N.","year":"2015","unstructured":"Rao, N., Yu, H.-F., Ravikumar, P. K., and Dhillon, I. S. (2015), \u201cCollaborative Filtering with Graph Information: Consistency and Scalable Methods,\u201d in Advances in Neural Information Processing Systems (Vol. 28), eds. C. Cortes, N. D. Lawrence, D. D. Lee, M. Sugiyama, and R. Garnett, Curran Associates, Inc., pp. 2107\u20132115."},{"key":"e_1_3_2_52_1","doi-asserted-by":"publisher","DOI":"10.1145\/1102351.1102441"},{"key":"e_1_3_2_53_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v28i1.8913"},{"key":"e_1_3_2_54_1","doi-asserted-by":"publisher","DOI":"10.1214\/074921707000000102"},{"key":"e_1_3_2_55_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-02651-0_10"},{"key":"e_1_3_2_56_1","volume-title":"Proceedings of the 20th International Conference on Machine Learning","author":"Srebro N.","year":"2003","unstructured":"Srebro, N., and Jaakkola, T. (2003), \u201cWeighted Low-Rank Approximations,\u201d in Proceedings of the 20th International Conference on Machine Learning (ICML-03)."},{"key":"e_1_3_2_57_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2020.2973994"},{"key":"e_1_3_2_58_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2016.08.027"},{"key":"e_1_3_2_59_1","doi-asserted-by":"publisher","DOI":"10.1214\/14-AOS1221"},{"key":"e_1_3_2_60_1","first-page":"8639","article-title":"\u201cMethod of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models,\u201d","volume":"22","author":"Wang F.","year":"2021","unstructured":"Wang, F., Zhou, L., Tang, L., and Song, P. X. (2021), \u201cMethod of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models,\u201d The Journal of Machine Learning Research, 22, 8639\u20138670.","journal-title":"The Journal of Machine Learning Research"},{"key":"e_1_3_2_61_1","doi-asserted-by":"publisher","DOI":"10.1198\/jasa.2011.tm09803"},{"key":"e_1_3_2_62_1","doi-asserted-by":"publisher","DOI":"10.1111\/insr.12000"},{"key":"e_1_3_2_63_1","unstructured":"Xie M.-g. and Wang P. (2022) \u201cRepro Samples Method for Finite- and Large-Sample Inferences \u201d available at https:\/\/arxiv.org\/abs\/2206.06421."},{"key":"e_1_3_2_64_1","doi-asserted-by":"publisher","DOI":"10.1214\/22-BA1317"},{"key":"e_1_3_2_65_1","doi-asserted-by":"publisher","DOI":"10.1214\/ss\/1177011233"},{"key":"e_1_3_2_66_1","doi-asserted-by":"publisher","DOI":"10.5705\/ss.2011.022a"},{"key":"e_1_3_2_67_1","doi-asserted-by":"publisher","DOI":"10.1214\/16-EJS1206"},{"key":"e_1_3_2_68_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2013.776499"}],"container-title":["Journal of Computational and Graphical Statistics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/10618600.2024.2441165","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,2]],"date-time":"2025-12-02T00:02:43Z","timestamp":1764633763000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/10618600.2024.2441165"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2,11]]},"references-count":67,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2025,10,2]]}},"alternative-id":["10.1080\/10618600.2024.2441165"],"URL":"https:\/\/doi.org\/10.1080\/10618600.2024.2441165","relation":{},"ISSN":["1061-8600","1537-2715"],"issn-type":[{"value":"1061-8600","type":"print"},{"value":"1537-2715","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,2,11]]},"assertion":[{"value":"The publishing and review policy for this title is described in its Aims & Scope.","order":1,"name":"peerreview_statement","label":"Peer Review Statement"},{"value":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=ucgs20","URL":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=ucgs20","order":2,"name":"aims_and_scope_url","label":"Aim & Scope"},{"value":"2024-03-10","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-11-19","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-02-11","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}