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The Principles of Uncertainty

2009-10-27 Philosophy
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Release : 2009-10-27
Genre : Philosophy
Kind : eBook
Book Rating : 460/5 ( reviews)

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Book Synopsis The Principles of Uncertainty by : Maira Kalman

Download or read book The Principles of Uncertainty written by Maira Kalman. This book was released on 2009-10-27. Available in PDF, EPUB and Kindle. Book excerpt: “Sublime . . . Kalman’s elegantly witty and at times melancholy narrative runs arm in arm with her unmistakable paintings on a serendipitous romp through the history of the world.” —Vanity Fair “Wildly original . . . there’s nothing else even remotely like it . . . This hilarious, wise, and deeply moving volume [is] the ultimate picture book for grown-ups.” —O Magazine Maira Kalman paints her highly personal worldview in this inimitable combination of image and text An irresistible invitation to experience life through a beloved artist's psyche, The Principles of Uncertainty is a compilation of Maira Kalman's New York Times columns. Part personal narrative, part documentary, part travelogue, part chapbook, and all Kalman, these brilliant, whimsical paintings, ideas, and images - which initially appear random - ultimately form an intricately interconnected worldview, an idiosyncratic inner monologue.

Principles of Uncertainty

2020-11-25 Mathematics
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Release : 2020-11-25
Genre : Mathematics
Kind : eBook
Book Rating : 365/5 ( reviews)

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Book Synopsis Principles of Uncertainty by : Joseph B. Kadane

Download or read book Principles of Uncertainty written by Joseph B. Kadane. This book was released on 2020-11-25. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the first edition: Principles of Uncertainty is a profound and mesmerising book on the foundations and principles of subjectivist or behaviouristic Bayesian analysis. ... the book is a pleasure to read. And highly recommended for teaching as it can be used at many different levels. ... A must-read for sure!—Christian Robert, CHANCE It's a lovely book, one that I hope will be widely adopted as a course textbook. —Michael Jordan, University of California, Berkeley, USA Like the prize-winning first edition, Principles of Uncertainty, Second Edition is an accessible, comprehensive text on the theory of Bayesian Statistics written in an appealing, inviting style, and packed with interesting examples. It presents an introduction to the subjective Bayesian approach which has played a pivotal role in game theory, economics, and the recent boom in Markov Chain Monte Carlo methods. This new edition has been updated throughout and features new material on Nonparametric Bayesian Methods, the Dirichlet distribution, a simple proof of the central limit theorem, and new problems. Key Features: First edition won the 2011 DeGroot Prize Well-written introduction to theory of Bayesian statistics Each of the introductory chapters begins by introducing one new concept or assumption Uses "just-in-time mathematics"—the introduction to mathematical ideas just before they are applied

An Introduction to the Uncertainty Principle

2012-12-06 Mathematics
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Release : 2012-12-06
Genre : Mathematics
Kind : eBook
Book Rating : 647/5 ( reviews)

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Book Synopsis An Introduction to the Uncertainty Principle by : Sundaram Thangavelu

Download or read book An Introduction to the Uncertainty Principle written by Sundaram Thangavelu. This book was released on 2012-12-06. Available in PDF, EPUB and Kindle. Book excerpt: In 1932 Norbert Wiener gave a series of lectures on Fourier analysis at the Univer sity of Cambridge. One result of Wiener's visit to Cambridge was his well-known text The Fourier Integral and Certain of its Applications; another was a paper by G. H. Hardy in the 1933 Journalofthe London Mathematical Society. As Hardy says in the introduction to this paper, This note originates from a remark of Prof. N. Wiener, to the effect that "a f and g [= j] cannot both be very small". ... The theo pair of transforms rems which follow give the most precise interpretation possible ofWiener's remark. Hardy's own statement of his results, lightly paraphrased, is as follows, in which f is an integrable function on the real line and f is its Fourier transform: x 2 m If f and j are both 0 (Ix1e- /2) for large x and some m, then each is a finite linear combination ofHermite functions. In particular, if f and j are x2 x 2 2 2 both O(e- / ), then f = j = Ae- / , where A is a constant; and if one x 2 2 is0(e- / ), then both are null.

Uncertainty

2008-02-12 Science
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Release : 2008-02-12
Genre : Science
Kind : eBook
Book Rating : 480/5 ( reviews)

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Book Synopsis Uncertainty by : David Lindley

Download or read book Uncertainty written by David Lindley. This book was released on 2008-02-12. Available in PDF, EPUB and Kindle. Book excerpt: The gripping, entertaining, and vividly-told narrative of a radical discovery that sent shockwaves through the scientific community and forever changed the way we understand the world. Werner Heisenberg’s “uncertainty principle” challenged centuries of scientific understanding, placed him in direct opposition to Albert Einstein, and put Niels Bohr in the middle of one of the most heated debates in scientific history. Heisenberg’s theorem stated that there were physical limits to what we could know about sub-atomic particles; this “uncertainty” would have shocking implications. In a riveting and lively account, David Lindley captures this critical episode and explains one of the most important scientific discoveries in history, which has since transcended the boundaries of science and influenced everything from literary theory to television.

Principles of Risk Analysis

2016-04-19 Technology & Engineering
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Release : 2016-04-19
Genre : Technology & Engineering
Kind : eBook
Book Rating : 504/5 ( reviews)

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Book Synopsis Principles of Risk Analysis by : Charles Yoe

Download or read book Principles of Risk Analysis written by Charles Yoe. This book was released on 2016-04-19. Available in PDF, EPUB and Kindle. Book excerpt: In every decision context there are things we know and things we do not know. Risk analysis uses science and the best available evidence to assess what we know-and it is intentional in the way it addresses the importance of the things we don't know. Principles of Risk Analysis: Decision Making Under Uncertainty lays out the tasks of risk analysis i

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