{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,21]],"date-time":"2026-01-21T05:00:55Z","timestamp":1768971655347,"version":"3.49.0"},"reference-count":58,"publisher":"Informa UK Limited","issue":"1","funder":[{"DOI":"10.13039\/501100000930","name":"US National Science Foundation","doi-asserted-by":"publisher","award":["OAC 2004601"],"award-info":[{"award-number":["OAC 2004601"]}],"id":[{"id":"10.13039\/501100000930","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000930","name":"US National Science Foundation","doi-asserted-by":"publisher","award":["DMS 1953111"],"award-info":[{"award-number":["DMS 1953111"]}],"id":[{"id":"10.13039\/501100000930","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000930","name":"US National Science Foundation","doi-asserted-by":"publisher","award":["1952897"],"award-info":[{"award-number":["1952897"]}],"id":[{"id":"10.13039\/501100000930","id-type":"DOI","asserted-by":"publisher"}]},{"name":"U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research SciDAC","award":["DE-AC02-05CH11231"],"award-info":[{"award-number":["DE-AC02-05CH11231"]}]},{"name":"U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research SciDAC","award":["OAC 2004601"],"award-info":[{"award-number":["OAC 2004601"]}]},{"name":"U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research SciDAC","award":["DMS 1952897"],"award-info":[{"award-number":["DMS 1952897"]}]}],"content-domain":{"domain":["www.tandfonline.com"],"crossmark-restriction":true},"short-container-title":["Technometrics"],"published-print":{"date-parts":[[2024,1,2]]},"DOI":"10.1080\/00401706.2023.2210170","type":"journal-article","created":{"date-parts":[[2023,5,3]],"date-time":"2023-05-03T08:45:30Z","timestamp":1683103530000},"page":"1-13","update-policy":"https:\/\/doi.org\/10.1080\/tandf_crossmark_01","source":"Crossref","is-referenced-by-count":5,"title":["Constructing a Simulation Surrogate with Partially Observed Output"],"prefix":"10.1080","volume":"66","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2181-5116","authenticated-orcid":false,"given":"Moses Y.-H.","family":"Chan","sequence":"first","affiliation":[{"name":"Department of Industrial Engineering and Management Sciences, Northwestern University","place":["Evanston"]}]},{"given":"Matthew","family":"Plumlee","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering and Management Sciences, Northwestern University","place":["Evanston"]},{"name":"NAISE, Northwestern University","place":["Evanston"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6099-2772","authenticated-orcid":false,"given":"Stefan M.","family":"Wild","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering and Management Sciences, Northwestern University","place":["Evanston"]},{"name":"Applied Mathematics and Computational Research Division, Lawrence Berkeley National Laboratory","place":["Berkeley"]}]}],"member":"301","published-online":{"date-parts":[[2023,6,22]]},"reference":[{"key":"e_1_3_4_2_1","doi-asserted-by":"publisher","DOI":"10.2307\/2685209"},{"key":"e_1_3_4_3_1","doi-asserted-by":"publisher","DOI":"10.1214\/21-STS822"},{"key":"e_1_3_4_4_1","doi-asserted-by":"publisher","DOI":"10.1198\/jasa.2009.ap06623"},{"key":"e_1_3_4_5_1","doi-asserted-by":"publisher","DOI":"10.1214\/009053607000000163"},{"key":"e_1_3_4_6_1","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6471\/abd009"},{"key":"e_1_3_4_7_1","doi-asserted-by":"publisher","DOI":"10.1088\/0266-5611\/30\/11\/114007"},{"key":"e_1_3_4_8_1","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.2023.2210170"},{"key":"e_1_3_4_9_1","doi-asserted-by":"publisher","DOI":"10.1214\/14-AOAS733"},{"key":"e_1_3_4_10_1","first-page":"59","volume-title":"Lecture Notes in Computer Science","author":"Chevalier C.","year":"2013","unstructured":"Chevalier, C., and Ginsbourger, D. (2013), \u201cFast Computation of the Multi-Points Expected Improvement with Applications in Batch Selection,\u201d in Lecture Notes in Computer Science, eds. G. Nicosia, and P. Pardalos, pp. 59\u201369, Heidelberg: Springer Berlin."},{"key":"e_1_3_4_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jspi.2009.08.006"},{"key":"e_1_3_4_12_1","doi-asserted-by":"publisher","DOI":"10.1088\/0954-3899\/41\/7\/074001"},{"key":"e_1_3_4_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cpc.2005.01.014"},{"key":"e_1_3_4_14_1","doi-asserted-by":"publisher","DOI":"10.1134\/1.567841"},{"key":"e_1_3_4_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0375-9474(00)00192-5"},{"key":"e_1_3_4_16_1","doi-asserted-by":"publisher","DOI":"10.1201\/b16018"},{"key":"e_1_3_4_17_1","first-page":"156","volume-title":"Computing Science and Statistics, Proceedings of the 23rd Symposium on the Interface","author":"Geyer C. J.","year":"1991","unstructured":"Geyer, C. J. (1991), \u201cMarkov Chain Monte Carlo Maximum Likelihood,\u201d in Computing Science and Statistics, Proceedings of the 23rd Symposium on the Interface, pp. 156\u2013163."},{"key":"e_1_3_4_18_1","unstructured":"GPy (since 2012) \u201cGPy: A Gaussian process framework in python \u201d available at http:\/\/github.com\/SheffieldML\/GPy."},{"key":"e_1_3_4_19_1","doi-asserted-by":"publisher","DOI":"10.1201\/9780367815493"},{"key":"e_1_3_4_20_1","doi-asserted-by":"publisher","DOI":"10.1214\/15-AOAS850"},{"key":"e_1_3_4_21_1","doi-asserted-by":"publisher","DOI":"10.1214\/16-AOAS934"},{"key":"e_1_3_4_22_1","doi-asserted-by":"publisher","DOI":"10.1080\/10618600.2019.1665534"},{"key":"e_1_3_4_23_1","doi-asserted-by":"publisher","DOI":"10.1214\/18-AOAS1142"},{"key":"e_1_3_4_24_1","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.1993.10485354"},{"key":"e_1_3_4_25_1","doi-asserted-by":"publisher","DOI":"10.1198\/016214507000000888"},{"key":"e_1_3_4_26_1","doi-asserted-by":"publisher","DOI":"10.1137\/S1064827503426693"},{"key":"e_1_3_4_27_1","doi-asserted-by":"publisher","DOI":"10.1088\/0954-3899\/42\/3\/034009"},{"key":"e_1_3_4_28_1","doi-asserted-by":"publisher","DOI":"10.1002\/asmb.2523"},{"key":"e_1_3_4_29_1","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.2013.869263"},{"key":"e_1_3_4_30_1","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/asv002"},{"key":"e_1_3_4_31_1","doi-asserted-by":"publisher","DOI":"10.1111\/1467-9868.00294"},{"key":"e_1_3_4_32_1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevC.82.024313"},{"key":"e_1_3_4_33_1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevC.89.054314"},{"key":"e_1_3_4_34_1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevC.85.024304"},{"key":"e_1_3_4_35_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11069-021-04881-9"},{"key":"e_1_3_4_36_1","doi-asserted-by":"publisher","DOI":"10.3847\/1538-4357\/aa86a9"},{"key":"e_1_3_4_37_1","doi-asserted-by":"publisher","DOI":"10.1214\/21-AOAS1484"},{"key":"e_1_3_4_38_1","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.2021.1895890"},{"key":"e_1_3_4_39_1","doi-asserted-by":"publisher","DOI":"10.1214\/17-AOS1629"},{"key":"e_1_3_4_40_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00180-019-00926-7"},{"key":"e_1_3_4_41_1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.114.122501"},{"key":"e_1_3_4_42_1","doi-asserted-by":"publisher","DOI":"10.2307\/1268522"},{"key":"e_1_3_4_43_1","first-page":"2825","article-title":"\u201cScikit-learn: Machine Learning in Python,\u201d","volume":"12","author":"Pedregosa F.","year":"2011","unstructured":"Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., and Duchesnay, E. (2011), \u201cScikit-learn: Machine Learning in Python,\u201d Journal of Machine Learning Research, 12, 2825\u20132830.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_4_44_1","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6471\/abf1df"},{"key":"e_1_3_4_45_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2016.1211016"},{"key":"e_1_3_4_46_1","doi-asserted-by":"publisher","DOI":"10.1214\/20-AOAS1398"},{"key":"e_1_3_4_47_1","unstructured":"Plumlee M. S\u00fcrer O. and Wild S. M. (2021b) Surmise Users Manual."},{"key":"e_1_3_4_48_1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevC.95.064328"},{"key":"e_1_3_4_49_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1023562417138"},{"key":"e_1_3_4_50_1","doi-asserted-by":"publisher","DOI":"10.1198\/106186008X384032"},{"key":"e_1_3_4_51_1","first-page":"626","volume-title":"Proceedings of the 10th International Conference on Neural Information Processing Systems, NeurIPS\u201997","author":"Roweis S.","year":"1997","unstructured":"Roweis, S. (1997), \u201cEM Algorithms for PCA and SPCA,\u201d in Proceedings of the 10th International Conference on Neural Information Processing Systems, NeurIPS\u201997, pp. 626\u2013632, MIT Press."},{"key":"e_1_3_4_52_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2018.1514306"},{"key":"e_1_3_4_53_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4939-8847-1"},{"key":"e_1_3_4_54_1","doi-asserted-by":"publisher","DOI":"10.1162\/15324430152748236"},{"key":"e_1_3_4_55_1","doi-asserted-by":"publisher","DOI":"10.1111\/1467-9868.00196"},{"key":"e_1_3_4_56_1","doi-asserted-by":"publisher","DOI":"10.1214\/15-AOS1314"},{"key":"e_1_3_4_57_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-021-21018-5"},{"key":"e_1_3_4_58_1","doi-asserted-by":"publisher","DOI":"10.1214\/06-BA125"},{"key":"e_1_3_4_59_1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.90.222501"}],"container-title":["Technometrics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/00401706.2023.2210170","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T16:31:51Z","timestamp":1768926711000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/00401706.2023.2210170"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,22]]},"references-count":58,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2024,1,2]]}},"alternative-id":["10.1080\/00401706.2023.2210170"],"URL":"https:\/\/doi.org\/10.1080\/00401706.2023.2210170","relation":{},"ISSN":["0040-1706","1537-2723"],"issn-type":[{"value":"0040-1706","type":"print"},{"value":"1537-2723","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,6,22]]},"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=utch20","URL":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=utch20","order":2,"name":"aims_and_scope_url","label":"Aim & Scope"},{"value":"2021-12-10","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-04-25","order":1,"name":"revised","label":"Revised","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-04-27","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-06-22","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}