Item Tag: 476

Computer Age Statistical Inference (Institute of Mathematical Statistics Monographs)Trevor Hastie Bradley Efron Cambridge University Press Hardcover Unused and unread, minor cosmetic imperfections such as scuffing or minor creasing. Stamped ‘damaged’ by publisher to a non-text page. EAN: 9781107149892 Published 31/07/2016 Language: English The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. ‘Big data’, ‘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? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. 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. The book ends with speculation on the future direction of statistics and data science. Part I. Classic Statistical Inference 1. Algorithms and inference 2. Frequentist inference 3. Bayesian inference 4. Fisherian inference and maximum likelihood estimation 5. Parametric models and exponential families Part II. Early Computer-Age Methods 6. Empirical Bayes 7. James–Stein estimation and ridge regression 8. Generalized linear models and regression trees 9. Survival analysis and the EM algorithm 10. The jackknife and the bootstrap 11. Bootstrap confidence intervals 12. Cross-validation and Cp estimates of prediction error 13. Objective Bayes inference and Markov chain Monte Carlo 14. Statistical inference and methodology in the postwar era Part III. Twenty-First Century Topics 15. Large-scale hypothesis testing and false discovery rates 16. Sparse modeling and the lasso 17. Random forests and boosting 18. Neural networks and deep learning 19. Support-vector machines and kernel methods 20. Inference after model selection 21. Empirical Bayes estimation strategies Epilogue References Index. DispatchIn stock here – same-day dispatch from England. My SKU: 3255631RefundsNo-hassle refunds are always available if your book is not as expected.Terms and Conditions of SaleSorry – no collections. All sales are subject to extended Terms and Conditions of Sale as well as the Return Policy and Payment Instructions. Visit my eBay Store for details andmany more books. Template layout and design, “JNC Academic Books”, “needbooks”, Copyright © JNC INC. Designated trademarks, layouts and brands are the property of their respective owners. All Rights Reserved.