{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T10:34:46Z","timestamp":1781001286204,"version":"3.54.1"},"reference-count":75,"publisher":"Society for Industrial & Applied Mathematics (SIAM)","issue":"1","funder":[{"DOI":"10.13039\/501100001711","name":"Swiss National Science Foundation","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100001711","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001659","name":"Deutsche Forschungsgemeinschaft","doi-asserted-by":"publisher","award":["SFB\/TRR 165"],"award-info":[{"award-number":["SFB\/TRR 165"]}],"id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007316","name":"Klaus Tschira Stiftung","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100007316","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["SIAM Rev."],"published-print":{"date-parts":[[2024,2]]},"DOI":"10.1137\/22m1541915","type":"journal-article","created":{"date-parts":[[2024,2,8]],"date-time":"2024-02-08T09:47:48Z","timestamp":1707385668000},"page":"91-122","source":"Crossref","is-referenced-by-count":7,"title":["Easy Uncertainty Quantification (EasyUQ): Generating Predictive Distributions from Single-Valued Model Output"],"prefix":"10.1137","volume":"66","author":[{"given":"Eva-Maria","family":"Walz","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexander","family":"Henzi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Johanna","family":"Ziegel","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9397-3271","authenticated-orcid":true,"given":"Tilmann","family":"Gneiting","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"351","published-online":{"date-parts":[[2024,2,8]]},"reference":[{"key":"atypb1","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2021.05.008"},{"key":"atypb2","doi-asserted-by":"publisher","DOI":"10.1214\/21-STS822"},{"key":"atypb3","doi-asserted-by":"publisher","DOI":"10.1038\/nature14956"},{"key":"atypb4","volume-title":"The Rise of Data-Driven Weather Forecasting: A First Statistical Assessment of Machine Learning-Based Weather Forecasts in an Operational-Like Context, preprint, https:\/\/arxiv.org\/abs\/2307.10128","author":"Bouall\u00e8gue Z. Ben","year":"2023"},{"key":"atypb5","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-statistics-030718-105232"},{"key":"atypb6","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-023-06185-3"},{"key":"atypb7","first-page":"3","volume-title":"Tenth Symposium on Conformal and Probabilistic Prediction and Applications, Proc. Mach. Learn. Res. 102","author":"Bostr\u00f6m H.","year":"2021"},{"key":"atypb8","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/85.4.799"},{"key":"atypb9","volume-title":"Algorithms for Minimization without Derivatives","author":"Brent R. P.","year":"1973"},{"key":"atypb10","doi-asserted-by":"publisher","DOI":"10.1111\/j.1600-0870.2008.00333.x"},{"key":"atypb11","doi-asserted-by":"publisher","DOI":"10.1615\/Int.J.UncertaintyQuantification.2021034623"},{"key":"atypb12","first-page":"14987","volume":"23","author":"\u0106evid D.","year":"2022","journal-title":"J. Mach. Learn. Res."},{"key":"atypb13","volume-title":"FengWu: Pushing the Skillful Global Medium-Range Weather Forecast beyond 10 Days Lead, preprint, https:\/\/arxiv.org\/abs\/2304.02948","author":"Chen K.","year":"2023"},{"key":"atypb14","first-page":"1","volume-title":"35th Conference on Neural Information Processing Systems (NeurIPS), Neural Information Processing Systems Foundation","author":"Chung Y.","year":"2021"},{"key":"atypb15","first-page":"1","volume-title":"35th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation","author":"Daxberger E.","year":"2021"},{"key":"atypb16","doi-asserted-by":"publisher","DOI":"10.1051\/0004-6361\/201731326"},{"key":"atypb17","doi-asserted-by":"publisher","DOI":"10.1016\/j.solener.2020.05.051"},{"key":"atypb18","first-page":"2690","volume-title":"37th International Conference on Machine Learning, Proc. Mach. Learn. Res. 119","author":"Duan T.","year":"2020"},{"key":"atypb19","doi-asserted-by":"publisher","DOI":"10.1038\/d41586-023-02084-9"},{"key":"atypb20","doi-asserted-by":"publisher","DOI":"10.1198\/016214504000000764"},{"key":"atypb21","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/86.1.153"},{"key":"atypb22","first-page":"1050","volume-title":"33rd International Conference on Machine Learning, Proc. Mach. Learn. Res. 48","author":"Gal Y.","year":"2016"},{"key":"atypb23","doi-asserted-by":"publisher","DOI":"10.1198\/016214504000000872"},{"key":"atypb24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-12385-1"},{"key":"atypb25","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9868.2007.00587.x"},{"key":"atypb26","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-statistics-062713-085831"},{"key":"atypb27","doi-asserted-by":"publisher","DOI":"10.1126\/science.1115255"},{"key":"atypb28","doi-asserted-by":"publisher","DOI":"10.1198\/016214506000001437"},{"key":"atypb29","doi-asserted-by":"publisher","DOI":"10.1175\/MWR2904.1"},{"key":"atypb30","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-021-06115-2"},{"key":"atypb31","doi-asserted-by":"publisher","DOI":"10.1214\/18-STS665"},{"key":"atypb32","doi-asserted-by":"publisher","DOI":"10.1080\/07350015.2022.2116026"},{"key":"atypb33","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2021.1938582"},{"key":"atypb34","doi-asserted-by":"publisher","DOI":"10.1007\/s11009-022-09937-2"},{"key":"atypb35","doi-asserted-by":"publisher","DOI":"10.1111\/rssb.12450"},{"key":"atypb36","first-page":"1861","volume-title":"32nd International Conference on Machine Learning, Proc. Mach. Learn. Res. 37","author":"Hern\u00e1ndez-Lobato J. M.","year":"2015"},{"key":"atypb37","first-page":"4563","volume-title":"38th International Conference on Machine Learning, 2021. Proc. Mach. Learn. Res. 139","author":"Immer A.","year":"2021"},{"key":"atypb38","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v090.i12"},{"key":"atypb39","doi-asserted-by":"publisher","DOI":"10.1111\/insr.12039"},{"key":"atypb40","first-page":"95","volume-title":"Machine Learning Challenges: Evaluating Predictive Uncertainty, Visual Object Classification, and Recognizing Textual Entailment, J. Quin\u0342onero-Candela, I. Dagan, B. Magnini, and F. d'Alch\u00e9-Buc","author":"Kohonen J.","year":"2006"},{"key":"atypb41","first-page":"2796","volume-title":"35th International Conference on Machine Learning, Proc. Mach. Learn. Res. 80","author":"Kuleshov V.","year":"2018"},{"key":"atypb42","volume-title":"31st Conference on Neural Information Processing Systems (NIPS), Neural Information Processing Systems Foundation","author":"Lakshminarayanan B.","year":"2017"},{"key":"atypb43","volume-title":"GraphCast: Learning Skillful Medium-Range Global Weather Forecasting, preprint, https:\/\/arxiv.org\/abs\/2212.12794","author":"Lam R.","year":"2022"},{"key":"atypb44","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcp.2007.02.014"},{"key":"atypb45","doi-asserted-by":"publisher","DOI":"10.1080\/07350015.2012.738955"},{"key":"atypb46","first-page":"15180","volume-title":"39th International Conference on Machine Learning, 2022. Proc. Mach. Learn. Res. 62","author":"Marx C.","year":"2022"},{"key":"atypb47","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.22.10.1087"},{"key":"atypb48","doi-asserted-by":"publisher","DOI":"10.1175\/MWR-D-13-00355.1"},{"key":"atypb49","doi-asserted-by":"publisher","DOI":"10.1002\/qj.49712252905"},{"key":"atypb50","doi-asserted-by":"publisher","DOI":"10.1214\/19-EJS1659"},{"key":"atypb51","doi-asserted-by":"publisher","DOI":"10.1007\/s00180-014-0523-0"},{"key":"atypb52","doi-asserted-by":"publisher","DOI":"10.1088\/0034-4885\/63\/2\/201"},{"key":"atypb53","volume-title":"Python Software Foundation","author":"Reference Python Language","year":"2023"},{"key":"atypb54","first-page":"1","volume-title":"Machine Learning Challenges: Evaluating Predictive Uncertainty, Visual Object Classification, and Recognizing Textual Entailment, J. Quin\u0342onero-Candela, I. Dagan, B. Magnini, and F. d'Alch\u00e9-Buc","author":"Quin\u0342onero-Candela J.","year":"2006"},{"key":"atypb55","doi-asserted-by":"publisher","DOI":"10.1175\/MWR2906.1"},{"key":"atypb56","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/3206.001.0001"},{"key":"atypb57","doi-asserted-by":"publisher","DOI":"10.1029\/2020MS002203"},{"key":"atypb58","doi-asserted-by":"publisher","DOI":"10.1175\/MWR-D-18-0187.1"},{"key":"atypb59","first-page":"1","volume-title":"International Conference on Learning Representations, ICLR","author":"Ritter H.","year":"2018"},{"key":"atypb60","doi-asserted-by":"publisher","DOI":"10.1016\/j.cma.2011.03.016"},{"key":"atypb61","doi-asserted-by":"publisher","DOI":"10.1214\/13-STS443"},{"key":"atypb62","doi-asserted-by":"publisher","DOI":"10.1002\/qj.2183"},{"key":"atypb63","doi-asserted-by":"publisher","DOI":"10.1214\/19-AOAS1247"},{"key":"atypb64","doi-asserted-by":"publisher","DOI":"10.1098\/rsta.2020.0097"},{"key":"atypb65","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-34675-5"},{"key":"atypb66","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4899-3324-9"},{"key":"atypb67","doi-asserted-by":"publisher","DOI":"10.1175\/MWR3441.1"},{"key":"atypb68","volume-title":"Uncertainty Quantification: Theory, Implementation, and Applications","author":"Smith R. C.","year":"2014"},{"key":"atypb69","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v023.i07"},{"key":"atypb70","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-23395-6"},{"key":"atypb71","first-page":"1","volume":"45","author":"Trefethen N.","year":"2012","journal-title":"SIAM News"},{"key":"atypb72","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-06649-8"},{"key":"atypb73","first-page":"37","volume-title":"Conformal and Probabilistic Prediction and Applications, Proc. Mach. Learn. Res. 91","author":"Vovk V.","year":"2018"},{"key":"atypb74","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.10.110"},{"key":"atypb75","first-page":"84","volume-title":"Conformal and Probabilistic Prediction and Applications, Proc. Mach. Learn. Res. 128","author":"Vovk V.","year":"2020"}],"container-title":["SIAM Review"],"original-title":[],"language":"en","deposited":{"date-parts":[[2024,2,8]],"date-time":"2024-02-08T09:49:37Z","timestamp":1707385777000},"score":1,"resource":{"primary":{"URL":"https:\/\/epubs.siam.org\/doi\/10.1137\/22M1541915"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2]]},"references-count":75,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2024,2]]}},"alternative-id":["10.1137\/22M1541915"],"URL":"https:\/\/doi.org\/10.1137\/22m1541915","relation":{},"ISSN":["0036-1445","1095-7200"],"issn-type":[{"value":"0036-1445","type":"print"},{"value":"1095-7200","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,2]]}}}