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The Principles of Uncertainty

The Principles of Uncertainty
Author: Maira Kalman
Publisher: Penguin
Total Pages: 337
Release: 2009-10-27
Genre: Philosophy
ISBN: 0143116460

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“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

Principles of Uncertainty
Author: Joseph B. Kadane
Publisher: CRC Press
Total Pages: 525
Release: 2020-11-25
Genre: Mathematics
ISBN: 1351683365

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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


Principles of Risk Analysis

Principles of Risk Analysis
Author: Charles Yoe
Publisher: CRC Press
Total Pages: 576
Release: 2016-04-19
Genre: Technology & Engineering
ISBN: 1439857504

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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


An Introduction to the Uncertainty Principle

An Introduction to the Uncertainty Principle
Author: Sundaram Thangavelu
Publisher: Springer Science & Business Media
Total Pages: 189
Release: 2012-12-06
Genre: Mathematics
ISBN: 0817681647

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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.


The Uncertainty Principle in Harmonic Analysis

The Uncertainty Principle in Harmonic Analysis
Author: Victor Havin
Publisher: Springer Science & Business Media
Total Pages: 547
Release: 2012-12-06
Genre: Mathematics
ISBN: 3642783775

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The present book is a collection of variations on a theme which can be summed up as follows: It is impossible for a non-zero function and its Fourier transform to be simultaneously very small. In other words, the approximate equalities x :::::: y and x :::::: fj cannot hold, at the same time and with a high degree of accuracy, unless the functions x and yare identical. Any information gained about x (in the form of a good approximation y) has to be paid for by a corresponding loss of control on x, and vice versa. Such is, roughly speaking, the import of the Uncertainty Principle (or UP for short) referred to in the title ofthis book. That principle has an unmistakable kinship with its namesake in physics - Heisenberg's famous Uncertainty Principle - and may indeed be regarded as providing one of mathematical interpretations for the latter. But we mention these links with Quantum Mechanics and other connections with physics and engineering only for their inspirational value, and hasten to reassure the reader that at no point in this book will he be led beyond the world of purely mathematical facts. Actually, the portion of this world charted in our book is sufficiently vast, even though we confine ourselves to trigonometric Fourier series and integrals (so that "The U. P. in Fourier Analysis" might be a slightly more appropriate title than the one we chose).


Beyond Uncertainty

Beyond Uncertainty
Author: David C. Cassidy
Publisher: Bellevue Literary Press
Total Pages: 480
Release: 2010-04-01
Genre: Science
ISBN: 1934137324

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"Exhaustively detailed yet eminently readable, this is an important book."Publishers Weekly, starred review "Cassidy does not so much exculpate Heisenberg as explain him, with a transparency that makes this biography a pleasure to read."Los Angeles Times "Well crafted and readable . . . [Cassidy] provides a nuanced and compelling account of Heisenberg's life."The Harvard Book Review In 1992, David C. Cassidy’s groundbreaking biography of Werner Heisenberg, Uncertainty, was published to resounding acclaim from scholars and critics. Michael Frayn, in the Playbill of the Broadway production of Copenhagen, referred to it as one of his main sources and “the standard work in English.” Richard Rhodes (The Making of the Atom Bomb) called it “the definitive biography of a great and tragic physicist,” and the Los Angeles Times praised it as “an important book. Cassidy has sifted the record and brilliantly detailed Heisenberg’s actions.” No book that has appeared since has rivaled Uncertainty, now out of print, for its depth and rich detail of the life, times, and science of this brilliant and controversial figure of twentieth-century physics. Since the fall of the Soviet Union, long-suppressed information has emerged on Heisenberg’s role in the Nazi atomic bomb project. In Beyond Uncertainty, Cassidy interprets this and other previously unknown material within the context of his vast research and tackles the vexing questions of a scientist’s personal responsibility and guilt when serving an abhorrent military regime. David C. Cassidy is the author of J. Robert Oppenheimer and the American Century, Einstein and Our World, and Uncertainty.


Uncertainty Advantage

Uncertainty Advantage
Author: Gary S. Lynch
Publisher: Archway Publishing
Total Pages: 196
Release: 2017-01-12
Genre: Business & Economics
ISBN: 1480839388

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Risk and uncertainty may sound scary, but todays best business leaders are navigating both to gain strategic advantage over competitorsand you can, too. This guide for business leaders examines risk and opportunity through the lens of some of the worlds most respected visionaries, including Howard Schultz, Andy Grove, Peter Huntsman, John Krafcik, Peter Leibinger, Doug Hepper, and many more. These visionaries looked beyond financial performance to see opportunitiesand they did so by understanding uncertainty. Then, they decisively acted to create measurable results that coincided with the future they envisioned. Find out how they did it, and learn how to: identify, define, and convert uncertainty into value; become more opportunistic when facing uncertainty; develop the skill to spot where advantages are likely to emerge; and create an environment where managers and leaders complement each other. Filled with case studies on companies such as Hyundai, Starbucks, Roche, and Intel, this guide delivers proven ways to create value and leverage uncertainty. It is the culmination of a decade of research and interaction with dozens of companies and growth leaders who prove that pursuing a market driven strategy to navigating uncertainty will gain measurable market advantage.


Management of Uncertainty

Management of Uncertainty
Author: Gudela Grote
Publisher: Springer Science & Business Media
Total Pages: 199
Release: 2009-09-17
Genre: Business & Economics
ISBN: 1848823738

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As I write, the financial systems of the world are collapsing with still no clear indication of what the consequences will be and which measures should be taken to avoid such a crisis in the future. There seems to be agreement though, that the financial instruments introduced in the past few decades entailed far too much complexity and uncertainty and that there was too little regulatory control over the use of these instruments. Management of uncertainty with the aim of achieving self-control is the core concern of this book. It was not written with a focus on financial systems, but many concepts developed in this book are applicable to this field as well. The - neric principles of reducing, maintaining or increasing uncertainties in view of the different contingencies an organization is faced with, the fundamental issue of how much control is possible and who should be in control, and the question of how much and what kind of regulation is necessary with the overall aim of finding an appropriate balance between system stability and flexibility are at the centre of heated debates on the future of finance.


Risk, Uncertainty and Profit

Risk, Uncertainty and Profit
Author: Frank H. Knight
Publisher: Cosimo, Inc.
Total Pages: 401
Release: 2006-11-01
Genre: Business & Economics
ISBN: 1602060053

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A timeless classic of economic theory that remains fascinating and pertinent today, this is Frank Knight's famous explanation of why perfect competition cannot eliminate profits, the important differences between "risk" and "uncertainty," and the vital role of the entrepreneur in profitmaking. Based on Knight's PhD dissertation, this 1921 work, balancing theory with fact to come to stunning insights, is a distinct pleasure to read. FRANK H. KNIGHT (1885-1972) is considered by some the greatest American scholar of economics of the 20th century. An economics professor at the University of Chicago from 1927 until 1955, he was one of the founders of the Chicago school of economics, which influenced Milton Friedman and George Stigler.


The Uncertainty Mindset

The Uncertainty Mindset
Author: Vaughn Tan
Publisher: Columbia University Press
Total Pages: 296
Release: 2020-07-28
Genre: Social Science
ISBN: 0231551878

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Innovation is how businesses stay ahead of the competition and adapt to market conditions that change in unpredictable and uncertain ways. In the first decade of the twenty-first century, high-end cuisine underwent a profound transformation. Once an industry that prioritized consistency and reliability, it turned into one where constant change was a competitive necessity. A top restaurant’s reputation and success have become so closely bound up with its ability to innovate that a new organizational form, the culinary research and development team, has emerged. The best of these R&D teams continually expand the frontiers of food—they invent a constant stream of new dishes, new cooking processes and methods, and even new ways of experiencing food. How do they achieve this nonstop novelty? And what can culinary research and development teach us about how organizations innovate? Vaughn Tan opens up the black box of elite culinary R&D to provide essential insights. Drawing on years of unprecedented access to the best and most influential culinary R&D teams in the world, he reveals how they exemplify what he calls the uncertainty mindset. Such a mindset intentionally incorporates uncertainty into organization design rather than simply trying to reduce risk. It changes how organizations hire, set goals, and motivate team members and leads organizations to work in highly unconventional ways. A revelatory look at the R&D kitchen, The Uncertainty Mindset upends conventional wisdom about how to organize for innovation and offers practical insights for businesses trying to become innovative and adaptable.