{"product_id":"functional-data-analysis-with-r-hardcover","title":"Functional Data Analysis with R - Hardcover","description":"\u003cp\u003eby \u003cb\u003eCiprian M. Crainiceanu\u003c\/b\u003e (Author), \u003cb\u003eJeff Goldsmith\u003c\/b\u003e (Author), \u003cb\u003eAndrew LeRoux\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFunctional Data Analysis with R\u003c\/b\u003e presents many ideas for handling functional data including dimension reduction techniques, smoothing, functional regression, structured decompositions of curves, and clustering.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eCiprian M. Crainiceanu\u003c\/b\u003e is Professor of Biostatistics at Johns Hopkins University working on wearable and implantable technology (WIT), signal processing, and clinical neuroimaging. He has extensive experience in mixed effects modeling, semiparametric regression, and functional data analysis with application to data generated by emerging technologies.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eJeff Goldsmith\u003c\/b\u003e is Associate Dean for Data Science and Associate Professor of Biostatistics at the Columbia University Mailman School of Public Health. His work in functional data analysis includes methodological and computational advances with applications in reaching kinematics, wearable devices, and neuroimaging.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAndrew Leroux\u003c\/b\u003e is an Assistant Professor of Biostatistics and Informatics at the University of Colorado. His interests include the development of methodology in functional data analysis, particularly related to wearable technologies and intensive longitudinal data.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eErjia Cui\u003c\/b\u003e is an Assistant Professor of Biostatistics at the University of Minnesota. His research interests include developing functional data analysis methods and semiparametric regression models with reproducible software, with applications in wearable devices, mobile health, and imaging.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 324\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.81 x 10 x 7 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e March 11, 2024\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":51776173736224,"sku":"9781032244716","price":187.9,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0974\/9764\/5344\/files\/eb01e2fb61ad63022d95c3d9c1937e23.webp?v=1780473935","url":"https:\/\/ebocreations.com\/products\/functional-data-analysis-with-r-hardcover","provider":"The E-Book Oasis LLC","version":"1.0","type":"link"}