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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.

• Sales Rank: #52111 in Books
• Published on: 2016-07-21
• Original language: English
• Dimensions: 8.98" h x 2.01" w x 5.98" l, .0 pounds
• Binding: Hardcover
• 495 pages

Review
"How and why is computational statistics taking over the world? 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."
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. The authors' perspective is summarized nicely when they say, 'very roughly speaking, algorithms are what statisticians do, while inference says why they do them'. 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. Both enjoyable and enlightening, Computer Age Statistical Inference is written especially for those who want to hear the big ideas, and see them instantiated through the essential mathematics that defines statistical analysis. It makes a great supplement to the traditional curricula for beginning graduate students."
Rob Kass, Carnegie Mellon University, Pennsylvania

"This is a terrific book. It gives a clear, accessible, and entertaining account of the interplay between theory and methodological development that has driven statistics in the computer age. The authors succeed brilliantly in locating contemporary algorithmic methodologies for analysis of 'big data' within the framework of established statistical theory."
Alastair Young, Imperial College London

"This is a guided tour of modern statistics that emphasizes the conceptual and computational advances of the last century. Authored by two masters of the field, it offers just the right mix of mathematical analysis and insightful commentary."
Hal Varian, Google

"Efron and Hastie guide us through the maze of breakthrough statistical methodologies following the computing evolution: why they were developed, their properties, and how they are used. Highlighting their origins, the book helps us understand each method's roles in inference and/or prediction. The inference-prediction distinction maintained throughout the book is a welcome and important novelty in the landscape of statistics books."
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."
Stephen Stigler, University of Chicago, and author of Seven Pillars of Statistical Wisdom

"Computer Age Statistical Inference offers a refreshing view of modern statistics. Algorithmics are put on equal footing with intuition, properties, and the abstract arguments behind them. The methods covered are indispensable to practicing statistical analysts in today's big data and big computing landscape."
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. 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."
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. This book provides the reader with a mid-level overview of the last 60-some years by detailing the nuances of a statistical community that, historically, has been self-segregated into camps of Bayes, frequentist, and Fisher yet in more recent years has been unified by advances in computing. 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. Whatever the outcome, the authors provide a vision of high-speed computing having tremendous potential to enable the contributions of statistical inference toward methodologies that address both global and societal issues."
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. 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. 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."
David Blei, Columbia University, New York

"Absolutely brilliant. This beautifully written compendium reviews many big statistical ideas, including the authors' own. A must for anyone engaged creatively in statistics and the data sciences, for repeated use. Efron and Hastie demonstrate the ever-growing power of statistical reasoning, past, present, and future."
Carl Morris, Harvard University, Massachusetts

"Computer Age Statistical Inference gives a lucid guide to modern statistical inference for estimation, hypothesis testing, and prediction. The book seamlessly integrates statistical thinking with computational thinking, while covering a broad range of powerful algorithms for learning from data. It is extraordinarily rare and valuable to have such a unified treatment of classical (and classic) statistical ideas and recent 'big data' and machine learning ideas. Accessible real-world examples and insightful remarks can be found throughout the book."
Joseph K. Blitzstein, Harvard University, Massachusetts

About the Author
Bradley Efron is Max H. Stein Professor, Professor of Statistics, and Professor of Biomedical Data Science at Stanford University, California. He has held visiting faculty appointments at Harvard University, Massachusetts, the University of California, Berkeley, and Imperial College of Science, Technology and Medicine, London. Efron has worked extensively on theories of statistical inference, and is the inventor of the bootstrap sampling technique. He received the National Medal of Science in 2005 and the Guy Medal in Gold of the Royal Statistical Society in 2014.

Trevor Hastie is John A. Overdeck Professor, Professor of Statistics, and Professor of Biomedical Data Science at Stanford University, California. He is coauthor of Elements of Statistical Learning, a key text in the field of modern data analysis. He is also known for his work on generalized additive models and principal curves, and for his contributions to the R computing environment. Hastie was awarded the Emmanuel and Carol Parzen prize for Statistical Innovation in 2014.

Most helpful customer reviews

56 of 57 people found the following review helpful.
Interesting, but too much overlap with their other books
By MsCurious
Their previous books include:
An Introduction to the Bootstrap (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)
Large-Scale Inference: Empirical Bayes Methods for Estimation, Testing, and Prediction (Institute of Mathematical Statistics Monographs)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
Statistical Learning with Sparsity: The Lasso and Generalizations (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)
Roughly 50% of the book consists of abridged topics from the above. In particular, most of part III is machine learning topics that are presented better in Hastie's books. The deep learning chapter is just too brief to be useful. I with they cut these out and only included new insights.
Part I and some chapters from II and III are new. The comments about frequentist and Bayesian inference are illustrative. Same for James-Stein estimator. I was hoping for an update on bootstrap, but it's the same material, just with new presentation and simpler examples. All of this makes reading the book worthwhile.
The level of difficulty is similar to their other books. There are many examples and illustrations, but more could have been included for Bayesian multiple testing.

1 of 2 people found the following review helpful.
Totally awesome clear summary of the development of inference
By John Williams
Totally awesome clear summary of the development of inference, the current state of the art, and some intriguing speculation on where it will go in the future.

0 of 1 people found the following review helpful.
Perspectives about statistics missing in other expositions that has insiteful ...
By Abraham Silvers
Perspectives about statistics missing in other expositions that has insiteful looks at what statistics is all about historically and currently

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• Sales Rank: #515391 in Books
• Published on: 2014-12-12
• Original language: English
• Number of items: 1
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• Sales Rank: #895371 in Books
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• Published on: 1700
• Binding: Hardcover

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[J189.Ebook] PDF Download A Postmodern Analysis of the Little Red Riding Hood Tale, by Barbara Smith Chalou

PDF Download A Postmodern Analysis of the Little Red Riding Hood Tale, by Barbara Smith Chalou

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A Postmodern Analysis of the Little Red Riding Hood Tale, by Barbara Smith Chalou

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Dr. Chalou's study is a qualitative critical analysis of the Little Red Riding Hood tale, from its oral beginnings to the latest contemporary retellings of the 1990's, examining the protagonist's depiction through both text and illustration. The retellings span six decades and are separated into three distinct categories to correspond with particular intellectual movements to which they conform; Traditional, Modern, and Postmodern. One resource to which children might look for role models is in the available literature. Stereotypically sexist depictions of girls and women in literature may serve not only to reinforce sexist attitudes in society, but also to impact the psychological development of females. Little Red Riding Hood is a classic example of a stereotypically sexist depiction of the protagonist, whose traditional portrayal ranges from polite and naive, to carnal and seductive. This study is a qualitative critical analysis of the Little Red Riding Hood tale, from its oral beginnings to the latest contemporary retellings of the 1990's, examining the protagonist's depiction through both text and illustration. The retellings span six decades and are separated into three distinct categories to correspond with particular intellectual movements to which they conform; Traditional, Modern, and Postmodern. Books which fall into the Traditional category typically have an innocence about them and are written in sugary language. The Modern retellings attempt to break with the traditional versions by updating the story, but the changes are usually superficial ones. The books in the Postmodern category are retellings that make more meaningful changes to the tale by addressing the political implications of the story, taking a critical look at the protagonist's portrayal. This study examines how Little Red Riding Hood's image has changed over time, rather than asking if she has changed. Change is inevitable and not always a forward progression. Change can be a step backward and serve to reaffirm, rather than to dispel sexist stereotypes. When superficial changes to the story are made, depicting the protagonist in contemporary clothing for example, with no regard to her thoughts and actions, the reader receives a mixed message.

• Sales Rank: #9718628 in Books
• Published on: 2002-01-01
• Original language: English
• Number of items: 1
• Dimensions: 9.02" h x .37" w x 5.98" l, .54 pounds
• Binding: Paperback
• 162 pages

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[N898.Ebook] PDF Ebook Paradigm Shift: From the Jewish Renewal Teachings of Reb Zalman Schachter-ShalomiFrom Brand: Jason Aronson, Inc.

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Rabbi Zalman Schachter-Shalomi is one of the most innovative and inspiring rabbis in the Jewish world today. Often considered the 'grandfather of the Havurah movement' and the most influential advocate of the rapidly growing movement of Jewish Renewal, Reb Zalman (as he is known by his countless students and admirers) has earned a reputation as a courageous, profoundly spiritual contemporary master. Jewish Renewal, as Reb Zalman explains it, is based on Kabbalah, Hasidism, and other forms of Jewish mysticism. 'Jewish Renewal does not want to abandon sacred and cherished traditions,' teaches Reb Zalman. Rather, the 'paradigm shift' advocates of Jewish Renewal call for asks that we recognize - as we have in the past - that there are newly emerging ways of looking at reality. Just as humankind had to adjust to the knowledge that the earth is not the center of the universe, so too do we today have to recognize that our understanding of our world has undergone significant change. Reb Zalman teaches that we must let go of the old paradigms rather than cling to these obsolete ways of thinking. In this book, Reb Zalman Schachter-Shalomi offers what he calls 'the journey of my own recontextualization of Judaism as helped by Jewish mysticism.' Reb Zalman points out that Judaism has undergone several 'paradigm shifts' throughout its long history, such as the period after the destruction of the First and Second Temples, when, as Reb Zalman explains, 'all of our practice and belief had to be reframed.' Paradigm Shift: From the Jewish Renewal Teachings of Reb Zalman Schachter-Shalomi, in addition to being a record of the major teachings of Reb Zalman over the past thirty years, is a call for Jewish renewal once again. A passionate teacher of kabbalistic tradition, Reb Zalman offers a unique blend of Jewish mystical ideas as they encounter the forces and sensibilities of today.

• Sales Rank: #2112070 in Books
• Brand: Brand: Jason Aronson, Inc.
• Published on: 1993-01-01
• Original language: English
• Number of items: 1
• Dimensions: 9.26" h x 1.22" w x 6.42" l,
• Binding: Hardcover
• 352 pages

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• Used Book in Good Condition

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6 of 7 people found the following review helpful.
At least he asks some of the right questions
By Shalom Freedman
Zalman Schacter- Shalomi has to be given the great credit of understanding that the tremendous changes which have occurred in the world , changes in science and technology perhaps above all, but changes in all dimensions of culture and history require that the Jewish people confront and understand these realities. I do not believe that the 'paradigm shift' as he understands it sufficiently comprehends all the changes, all the developments. But at least he understands that for the Torah to be a living Torah, and for the Jewish people to be true servants of God they cannot hide within the enclosed space of a past, or pretend they have no relation to others.

For this alone he is a courageous thinker of the kind the Jewish people need more of.

8 of 10 people found the following review helpful.
A Look Into The Judaism of the Future
By Gershon S. Caudill
There are not many books that change a person's life. This book changed my life. It got me thinking about new ways of seeing myself, my religious beliefs, my community, and how I related to my concept of G*d. It also introduced me to the writings of my teacher and friend, Rabbi Gershon Winker, (shlita). After I read this book, I traveled to the 1994 (5?) Jewish Renewal Kallah in Colorado Springs, Colorado, to meet with the Rebbe, Rabbi Zalman Schachter-Shalomi. There I also met Rabbi David Wolf-Blanke, z"l and Rabbi Avram Davis, Sarah Shendleman, Nan Gefon-Fink, and many others whose writings I had read and whose philosophy of living as a Jew in a modern world, I appreciated and shared. Needless to say, I completely recommend this book for all who are seeking a serious book about 21st century Judaism.

27 of 28 people found the following review helpful.
Essential reading for Jewish spiritual seekers
By Lucien the Librarian
Just so that people don't get the idea from the other review that the book is about Jesus: This is one of THE essential works in the movement known as Jewish renewal, by one of the most profound and original Jewish thinkers of our time. Follow "Reb Zalman" on his lifelong spiritual journey as he explores interfaith relations (beyond the "I love you, you love me" banalities that often pass for dialogue), previous instances of the reconstruction of Judaism, exciting old and new prayer and meditation techniques, and visions of Judaism's and humanity's future.

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