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Statist. Assoc. 96 (2001), no. 454, 398\u2013408.","DOI":"10.1198\/016214501753168118"},{"key":"2024022618254294199_j_mcma-2023-2016_ref_005","doi-asserted-by":"crossref","unstructured":"P. J. Brown, M. Vannucci and T. Fearn,\nBayesian Wavelength Selection in Multicomponent Analysis.,\nJ. Chemometrics 12 (1998), 173\u2013182.","DOI":"10.1002\/(SICI)1099-128X(199805\/06)12:3<173::AID-CEM505>3.3.CO;2-S"},{"key":"2024022618254294199_j_mcma-2023-2016_ref_006","doi-asserted-by":"crossref","unstructured":"P. J. Brown, M. Vannucci and T. Fearn,\nMultivariate Bayesian variable selection and prediction,\nJ. R. Stat. Soc. Ser. B Stat. Methodol. 60 (1998), no. 3, 627\u2013641.","DOI":"10.1111\/1467-9868.00144"},{"key":"2024022618254294199_j_mcma-2023-2016_ref_007","doi-asserted-by":"crossref","unstructured":"I. A. Cowe and J. W. McNicol,\nThe use of principal components in the analysis of near-infrared spectra,\nAppl. 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Wold,\nThe multivariate calibration problem in chemistry solved by PLS,\nMatrix Pencils,\nSpringer, Heidelberg (1983), 286\u2013293.","DOI":"10.1007\/BFb0062108"}],"container-title":["Monte Carlo Methods and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.degruyter.com\/document\/doi\/10.1515\/mcma-2023-2016\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyter.com\/document\/doi\/10.1515\/mcma-2023-2016\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,26]],"date-time":"2024-02-26T18:26:14Z","timestamp":1708971974000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.degruyter.com\/document\/doi\/10.1515\/mcma-2023-2016\/html"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,14]]},"references-count":27,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2024,3,1]]},"published-print":{"date-parts":[[2024,3,1]]}},"alternative-id":["10.1515\/mcma-2023-2016"],"URL":"https:\/\/doi.org\/10.1515\/mcma-2023-2016","relation":{},"ISSN":["0929-9629","1569-3961"],"issn-type":[{"type":"print","value":"0929-9629"},{"type":"electronic","value":"1569-3961"}],"subject":[],"published":{"date-parts":[[2023,10,14]]}}}