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Both enjoyable and enlightening, Computer Age Statistical Inference is written espe- cially for those who want to hear the big ideas, and see them instantiated through the essential mathematics that defines statistical analysis. Javascript is not enabled in your browser. The order arrived in time and has a good qulity. What is left to be explored is the emergence of, and role that, big data theory will have in bridging the gap between data science and statistical methodology. To get the free app, enter your mobile phone number. The presentation through the two-and-a-half-century history of statistical inference provides insight into the development of the discipline, putting data science in its historical place." The methods covered are indispensable to practicing statistical analysts in today’s big data and big computing landscape.’ The inference-prediction distinction maintained throughout the book is a welcome and important novelty in the landscape of statistics books." Computer Age Statistical Inference: Algorithms, Evidence and Data Science by Bradley Efron and Trevor Hastie is a brilliant read. Reviewed in the United Kingdom on September 2, 2017. 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. Algorithmics are put on equal footing with intuition, properties, and the abstract arguments behind them. Interesting, but too much overlap with their other books, Reviewed in the United States on October 4, 2016, a great overview of main statistical methods, Reviewed in the United States on April 23, 2020. Excellent review of Statistical inference. D. J. Gougeon, Choice, ©1997-2020 Barnes & Noble Booksellers, Inc. 122 Fifth Avenue, New York, NY 10011. Computer Age Statistical Inference by Bradley Efron & Trevor Hastie is Mathematics The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. Use up arrow (for mozilla firefox browser alt+up arrow) and down arrow (for mozilla firefox browser alt+down arrow) to review and enter to select. This book may suitable for who with some intermediate statistical background looking for an introductory reading. The book explains this 'why'; that is, it explains the purpose and progress of statistical research, through a close look at many major methods, methods the authors themselves have advanced and studied at great length. The authors succeed brilliantly in locating contemporary algorithmic methodologies for analysis of 'big data' within the framework of established statistical theory." In 475 carefully crafted pages, Efron and … The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. We don’t share your credit card details with third-party sellers, and we don’t sell your information to others. The methods covered are indispensable to practicing statistical analysts in today's big data and big computing landscape." The book ends with speculation on the future direction of statistics and data science. Algorithmics are put on equal footing with intuition, properties, and the abstract arguments behind them. Efron and Hastie demonstrate the ever-growing power of statistical reasoning, past, present, and future.' Reviewed in the United States on August 7, 2017. Computer Age Statistical Inference: Algorithms, Evidence, and Data Science (Institute of Mathematical Statistics Monographs, Series Number 5). Efron has worked extensively on theories of statistical inference, and is the inventor of the bootstrap sampling technique. This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. NB: The copy of the Work, as displayed on this website, can be purchased through Cambridge University Press and other standard distribution channels. The work examines major developments in computation from the late-20th and early-21st centuries, ranging from electronic computations to 'big data' analysis. Bradley Efron is Max H. Stein Professor, Professor of Statistics, and Professor of Biomedical Data Science at Stanford University, California. The Work, Computer Age Statistical Inference, was first published by Cambridge University Press. You can view Barnes & Noble’s Privacy Policy. '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. 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. Just amazing. 'Computer Age Statistical Inference offers a refreshing view of modern statistics. Accessible real-world examples and insightful remarks can be found throughout the book." He has held visiting faculty appointments at Harvard University, Massachusetts, the University of California, Berkeley, and Imperial College of Science, Technology and Medicine, London. 2016-10-28. by Joseph Rickert. It also analyzes reviews to verify trustworthiness. He received the National Medal of Science in 2005 and the Guy Medal in Gold of the Royal Statistical Society in 2014. © in the Work, Bradley Efron and Trevor Hastie, 2016. Enabling JavaScript in your browser will allow you to experience all the features of our site. The authors' perspective is summarized nicely when they say, 'very roughly speaking, algorithms are what statisticians do, while inference says why they do them'. Algorithmics are put on equal footing with intuition, properties, and the abstract arguments behind them. 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. Reviewed in the United States on March 18, 2018. "Computer Age Statistical Inference offers a refreshing view of modern statistics. Galit Shmueli, National Tsing Hua University"A masterful guide to how the inferential bases of classical statistics can provide a principled disciplinary frame for the data science of the twenty-first century." Gratis verzending, Slim studeren. Computer Age Statistical Inference: Algorithms, Evidence and Data Science by Bradley Efron and Trevor Hastie is a brilliant read. Highlighting their origins, the book helps us understand each method's roles in inference and/or prediction. Skickas inom 10-15 vardagar. Take an exhilarating journey through the modern revolution in statistics with two of the ringleaders. For a better shopping experience, please upgrade now. This book is a mathematically accessible and up-to-date introduction to the tools needed to address modern inference problems in engineering and data science, ideal for graduate students taking courses on statistical inference and detection and estimation, and an invaluable reference for researchers and professionals. Learn how to enable JavaScript on your browser, Computer Age Statistical Inference: Algorithms, Evidence, and Data Science available in The distinctly modern approach integrates methodology and algorithms with statistical inference. You will see ideas emerge, take form, evolve, re-create, and manifest in the most unexpected ways to shape, define and change the way humans look at the world. The distinctly modern approach integrates methodology and algorithms with statistical inference. In this serious work of synthesis that is also fun to read, Efron and Hastie, two pioneers in the integration of parametric and nonparametric statistical ideas, give their take on the unreasonable effectiveness of statistics and machine learning in the context of a series of clear, historically informed examples.". Reviewed in the United Kingdom on May 12, 2017. Find all the books, read about the author, and more. Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required. The methods covered are indispensable to practicing statistical analysts in today's big data and big computing landscape.' Efron has been president of the American Statistical Association (2004) and of the Institute of Mathematical Statistics (1987–1988). He received the National Medal of Science in 2005 and the Guy Medal in Gold of the Royal Statistical Society in 2014. Mark Girolami, Imperial College London"Efron and Hastie are two immensely talented and accomplished scholars who have managed to brilliantly weave the fiber of 250 years of statistical inference into the more recent historical mechanization of computing. Algorithmics are put on equal footing with intuition, properties, and the abstract arguments behind them. Our payment security system encrypts your information during transmission. ‘Computer Age Statistical Inference offers a refreshing view of modern statistics. Koop Computer Age Statistical Inference van Efron, Bradley, met ISBN 9781107149892. The book seamlessly integrates statistical thinking with computational thinking, while covering a broad range of powerful algorithms for learning from data. Algorithmics are put on equal footing with intuition, properties, and the abstract arguments behind them. It will take time to digest it all ..... thank you Prof Efron! The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. Very insightful and informative statistical inference book. I sincerely thank authors for this service. "How and why is computational statistics taking over the world? To calculate the overall star rating and percentage breakdown by star, we don’t use a simple average. Submit your email address to receive Barnes & Noble offers & updates. Instead, our system considers things like how recent a review is and if the reviewer bought the item on Amazon. In order to navigate out of this carousel please use your heading shortcut key to navigate to the next or previous heading. Yes, as many other reviewers noticed this book has a lot of commonalities with other books by the same authors. Reviewed in the United States on April 9, 2018. It also offers an enlightening series of illustrations of the interplay between computation and inference … This is an attractive book that invites browsing by anyone interested in statistics and its future directions.' Bradley Efron (/ ˈ ɛ f r ən /; born May 24, 1938) is an American statistician. Focusing primarily on the last six decades, the text thoroughly documents the progression within the discipline of statistics … This text is highly recommended for graduate libraries.' We work hard to protect your security and privacy. Livro imprescindível para a biblioteca do estatístico. Bring your club to Amazon Book Clubs, start a new book club and invite your friends to join, or find a club that’s right for you for free. Learning from data a simple average d. J. Gougeon, Choice, Barnes. Statistical thinking with computational thinking, while covering a broad overview of modern statistics like your Internet Explorer out. Book ends with speculation on the future direction of statistics, and we don ’ t sell information... T use a simple average examples and insightful commentary. koop Computer Age Inference. ( www.rstudio.com ) 'Efron and Hastie demonstrate the ever-growing power of statistical methodology, both in scope and influence! Your information to others books on your smartphone, tablet, or Computer - no Kindle device required allow to. Van Efron, Bradley Efron and Trevor Hastie is a terrific book. of the ringleaders use your shortcut! 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