02824nam a2200469 i 4500 000389513 UkCbUP 20220107135832.0 20211105145637.0 m|||||o||d|||||||| cr|||||||||||| 200304s2021||||enk o ||1 0|eng|d NEZPRACOVANÝ IMPORT 9781108914062 (ebook) 9781108823418 (paperback) UkCbUP eng rda UkCbUP QA276.4 .E377 2021 519.50285 23 Efron, Bradley, author. Computer age statistical inference : algorithms, evidence, and data science / Bradley Efron, Trevor Hastie. Student edition. Cambridge : Cambridge University Press, 2021. 1 online resource (xix, 492 pages) : digital, PDF file(s). text txt rdacontent computer c rdamedia online resource cr rdacarrier Institute of Mathematical Statistics monographs ; 6 Title from publisher's bibliographic system (viewed on 26 Oct 2021). The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and influence. 'Data science' and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? How does it all fit together? Now in paperback and fortified with exercises, this book delivers a concentrated course in modern statistical thinking. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov Chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. Each chapter ends with class-tested exercises, and the book concludes with speculation on the future direction of statistics and data science. elektronické knihy fd186907 czenas electronic books eczenas Mathematical statistics Data processing. Hastie, Trevor, author. Print version: 9781108823418 Institute of Mathematical Statistics monographs ; 6. https://knihovna.vse.cz/zdroje/cambridge-core-books-and-textbooks/?info Informace o práci s e-knihami https://zdroje.vse.cz/login?url=https://doi.org/10.1017/9781108914062 Plný text CAMBRIDGE-EBA EB NEPOSILAT EB