{"product_id":"statistical-foundations-of-data-science-9781466510845","title":"Statistical Foundations of Data Science","description":"\u003cp\u003e\u003cstrong\u003eStatistical Foundations of Data Science\u003c\/strong\u003e gives a thorough introduction to commonly used statistical models, contemporary statistical machine learning techniques and algorithms, along with their mathematical insights and statistical theories. It aims to serve as a graduate-level textbook and a research monograph on high-dimensional statistics, sparsity and covariance learning, machine learning, and statistical inference. It includes ample exercises that involve both theoretical studies as well as empirical applications.\u003c\/p\u003e\u003cp\u003eThe book begins with an introduction to the stylized features of big data and their impacts on statistical analysis. It then introduces multiple linear regression and expands the techniques of model building via nonparametric regression and kernel tricks. It provides a comprehensive account on sparsity explorations and model selections for multiple regression, generalized linear models, quantile regression, robust regression, hazards regression, among others. High-dimensional inference is also thoroughly addressed and so is feature screening. The book also provides a comprehensive account on high-dimensional covariance estimation, learning latent factors and hidden structures, as well as their applications to statistical estimation, inference, prediction and machine learning problems. It also introduces thoroughly statistical machine learning theory and methods for classification, clustering, and prediction. These include CART, random forests, boosting, support vector machines, clustering algorithms, sparse PCA, and deep learning.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Jianqing Fan,Runze Li,Cun-Hui Zhang\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e CRC Press\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 08\/17\/2020\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 774\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 3.05lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.40h x 6.10w x 1.50d\u003cbr\u003e\u003cb\u003eISBN:\u003c\/b\u003e 9781466510845\u003cbr\u003e\u003cbr\u003e\u003cb\u003eReview Citation(s): \u003c\/b\u003e\u003cbr\u003e\u003ci\u003eChoice\u003c\/i\u003e 08\/01\/2021\u003cbr\u003e\u003cp\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThe authors are international authorities and leaders on the presented topics. All are fellows of the Institute of Mathematical Statistics and the American Statistical Association. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eJianqing Fan\u003c\/b\u003e is Frederick L. Moore Professor, Princeton University. He is co-editing \u003ci\u003eJournal of Business and Economics Statistics \u003c\/i\u003eand was the co-editor of \u003ci\u003eThe Annals of Statistics\u003c\/i\u003e, \u003ci\u003eProbability Theory and Related Fields\u003c\/i\u003e, and\u003ci\u003e Journal of Econometrics\u003c\/i\u003e and has been recognized by the 2000 COPSS Presidents' Award, AAAS Fellow, Guggenheim Fellow, Guy medal in silver, Noether Senior Scholar Award, and Academician of Academia Sinica.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eRunze Li\u003c\/b\u003e is Elberly family chair professor and AAAS fellow, Pennsylvania State University, and was co-editor of \u003ci\u003eThe Annals of Statistics\u003c\/i\u003e. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eCun-Hui Zhang\u003c\/b\u003e is distinguished professor, Rutgers University and was co-editor of \u003ci\u003eStatistical Science\u003c\/i\u003e. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eHui Zou\u003c\/b\u003e is professor, University of Minnesota and was action editor of \u003ci\u003eJournal of Machine Learning Research\u003c\/i\u003e. \u003c\/p\u003e\u003cbr\u003e","brand":"CRC Press","offers":[{"title":"Hardcover","offer_id":45089973502067,"sku":"9781466510845","price":280.19,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0555\/9255\/0515\/files\/img_d6d42a30-5001-459f-9e63-20f05651936e.jpg?v=1781110356","url":"https:\/\/bookstorenmore.com\/products\/statistical-foundations-of-data-science-9781466510845","provider":"Bookstore N More","version":"1.0","type":"link"}