There was a problem loading your book clubs. David Blei, Columbia University, New York"Absolutely brilliant. Andrew Gelman, Columbia University, New York"This unusual book describes the nature of statistics by displaying multiple examples of the way the field has evolved over the past sixty years, as it has adapted to the rapid increase in available computing power. Submit your email address to receive Barnes & Noble offers & updates. Bradley Efron is Max H. Stein Professor, Professor of Statistics, and Professor of Biomedical Data Science at Stanford University, California. I sincerely thank authors for this service. Computer Age Statistical Inference: Algorithms, Evidence and Data Science by Bradley Efron and Trevor Hastie is a brilliant read. Robert Gramacy, University of Chicago Booth School of Business"Every aspiring data scientist should carefully study this book, use it as a reference, and carry it with them everywhere. Reviewed in the United States on August 7, 2017. If you are only ever going to buy one statistics book, or if you are thinking of updating your library and retiring a dozen or so dusty stats texts, this book would be an excellent choice. You can view Barnes & Noble’s Privacy Policy. Prime members enjoy FREE Delivery and exclusive access to music, movies, TV shows, original audio series, and Kindle books. Totally satisfied with the order, it arrived fast, and is of high quality. Computer Age Statistical Inference: Algorithms, Evidence and Data Science by Bradley Efron and Trevor Hastie is a brilliant read. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required. Algorithmics are put on equal footing with intuition, properties, and the abstract arguments behind them. Studystore.nl A fantastic book that summarizes the statistical inference techniques. He is a past editor (for theory and methods) of the Journal of the American Statistical Association, and he is the founding editor of the Annals of Applied Statistics. In order to navigate out of this carousel please use your heading shortcut key to navigate to the next or previous heading. Through a series of important topics, Efron and Hastie illuminate how modern methods for predicting and understanding data are rooted in both statistical and computational thinking. Javascript is not enabled in your browser. Please try again. This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. A great book for statisticians, machine learning scientists. Click or Press Enter to view the items in your shopping bag or Press Tab to interact with the Shopping bag tooltip, Computer Age Statistical Inference: Algorithms, Evidence, and Data Science, Get a $10 Gift Card With Every $100 B&N Gift Card Purchase, 50% Off Ty Frozen 2 - Olaf B&N Exclusive 13" Plush, Knock Knock Gifts, Books & Office Supplies, Learn how to enable JavaScript on your browser, Institute of Mathematical Statistics Monographs. NB: The copy of the Work, as displayed on this website, can be purchased through Cambridge University Press and other standard distribution channels. The methods covered are indispensable to practicing statistical analysts in today's big data and big computing landscape." The distinctly modern approach integrates methodology and algorithms with statistical inference. Efron and Hastie demonstrate the ever-growing power of statistical reasoning, past, present, and future.' Cambridge University Press; 1st edition (July 21, 2016), A Great Resource for Those with a Mathematical Background, Reviewed in the United States on November 12, 2017. They show how the rise of computational power has transformed traditional methods and questions, and how it has pointed us to new ways of thinking about statistics." Cambridge University Press's catalogue entry for the Work can be found at the Cambridge Catalog. Joseph K. Blitzstein, Harvard University, Massachusetts'Among other things, it is an attempt to characterize the current state of statistics by identifying important tools in the context of their historical development. Yes, as many other reviewers noticed this book has a lot of commonalities with other books by the same authors. Rebecca Doerge, Carnegie Mellon University, Pennsylvania"In this book, two masters of modern statistics give an insightful tour of the intertwined worlds of statistics and computation. Efron has been president of the American Statistical Association (2004) and of the Institute of Mathematical Statistics (1987–1988). It also analyzes reviews to verify trustworthiness. Please try your request again later. Algorithmics are put on equal footing with intuition, properties, and the abstract arguments behind them. Please try again. Computer Age Statistical Inference: Algorithms, Evidence, and Data Science (Institute of Mathematical Statistics Monographs, Series Number 5). Just amazing. Bradley Efron is Max H. Stein Professor, Professor of Statistics, and Professor of Biomedical Data Science at Stanford University, California. This beautifully written compendium reviews many big statistical ideas, including the authors' own. There's a problem loading this menu right now. Carl Morris, Harvard University, Massachusetts 'Computer Age Statistical Inference gives a lucid guide to modern statistical inference for estimation, hypothesis testing, and prediction. 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