The Principles of Uncertainty
The Principles of Uncertainty

Author: Maira Kalman

Publisher: Penguin

Published: 2009-10-27

Total Pages: 337

ISBN-13: 0143116460

DOWNLOAD EBOOK

“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

Published: 2020-11-25

Total Pages: 525

ISBN-13: 1351683365

DOWNLOAD EBOOK

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
An Introduction to the Uncertainty Principle

Author: Sundaram Thangavelu

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 189

ISBN-13: 0817681647

DOWNLOAD EBOOK

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.

Principles of Risk Analysis
Principles of Risk Analysis

Author: Charles Yoe

Publisher: CRC Press

Published: 2016-04-19

Total Pages: 576

ISBN-13: 1439857504

DOWNLOAD EBOOK

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

Uncertainty
Uncertainty

Author: David Lindley

Publisher: Anchor

Published: 2008-02-12

Total Pages: 274

ISBN-13: 0307389480

DOWNLOAD EBOOK

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.

The Uncertainty Principle in Harmonic Analysis
The Uncertainty Principle in Harmonic Analysis

Author: Victor Havin

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 547

ISBN-13: 3642783775

DOWNLOAD EBOOK

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).

Risk, Uncertainty and Profit
Risk, Uncertainty and Profit

Author: Frank H. Knight

Publisher: Cosimo, Inc.

Published: 2006-11-01

Total Pages: 401

ISBN-13: 1602060053

DOWNLOAD EBOOK

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.

Investment under Uncertainty
Investment under Uncertainty

Author: Robert K. Dixit

Publisher: Princeton University Press

Published: 2012-07-14

Total Pages: 484

ISBN-13: 1400830176

DOWNLOAD EBOOK

How should firms decide whether and when to invest in new capital equipment, additions to their workforce, or the development of new products? Why have traditional economic models of investment failed to explain the behavior of investment spending in the United States and other countries? In this book, Avinash Dixit and Robert Pindyck provide the first detailed exposition of a new theoretical approach to the capital investment decisions of firms, stressing the irreversibility of most investment decisions, and the ongoing uncertainty of the economic environment in which these decisions are made. In so doing, they answer important questions about investment decisions and the behavior of investment spending. This new approach to investment recognizes the option value of waiting for better (but never complete) information. It exploits an analogy with the theory of options in financial markets, which permits a much richer dynamic framework than was possible with the traditional theory of investment. The authors present the new theory in a clear and systematic way, and consolidate, synthesize, and extend the various strands of research that have come out of the theory. Their book shows the importance of the theory for understanding investment behavior of firms; develops the implications of this theory for industry dynamics and for government policy concerning investment; and shows how the theory can be applied to specific industries and to a wide variety of business problems.

The Physical Principles of the Quantum Theory
The Physical Principles of the Quantum Theory

Author: Werner Heisenberg

Publisher: Courier Corporation

Published: 2013-04-15

Total Pages: 212

ISBN-13: 0486318419

DOWNLOAD EBOOK

Nobel Laureate discusses quantum theory, uncertainty, wave mechanics, work of Dirac, Schroedinger, Compton, Einstein, others. "An authoritative statement of Heisenberg's views on this aspect of the quantum theory." — Nature.

Uncertainty
Uncertainty

Author: William Briggs

Publisher: Springer

Published: 2016-07-15

Total Pages: 274

ISBN-13: 3319397567

DOWNLOAD EBOOK

This book presents a philosophical approach to probability and probabilistic thinking, considering the underpinnings of probabilistic reasoning and modeling, which effectively underlie everything in data science. The ultimate goal is to call into question many standard tenets and lay the philosophical and probabilistic groundwork and infrastructure for statistical modeling. It is the first book devoted to the philosophy of data aimed at working scientists and calls for a new consideration in the practice of probability and statistics to eliminate what has been referred to as the "Cult of Statistical Significance." The book explains the philosophy of these ideas and not the mathematics, though there are a handful of mathematical examples. The topics are logically laid out, starting with basic philosophy as related to probability, statistics, and science, and stepping through the key probabilistic ideas and concepts, and ending with statistical models. Its jargon-free approach asserts that standard methods, such as out-of-the-box regression, cannot help in discovering cause. This new way of looking at uncertainty ties together disparate fields — probability, physics, biology, the “soft” sciences, computer science — because each aims at discovering cause (of effects). It broadens the understanding beyond frequentist and Bayesian methods to propose a Third Way of modeling.