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Books on the topic 'Entropic uncertainty'

Author: Grafiati

Published: 1 April 2023

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1

Jessop, Alan. Informed assessments: An introduction to information, entropy, and statistics. Ellis Horwood, 1995.

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2

Jessop, A. Informed assessments: An introduction to information, entropy and statistics. Ellis Horwood, 1995.

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3

Watts, Barry D. Clausewitzian friction and future war. Institute for National Strategic Studies, National Defense University, 1996.

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4

Watts, Barry D. Clausewitzian friction and future war. Institute for National Strategic Studies, National Defense University, 1996.

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5

Watts, Barry D. Clausewitzian friction and future war. Institute for National Strategic Studies, National Defense University, 2004.

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6

Entropic Tokyo: Metropolis of Uncertainty, Multiplicity and Flexibility. LetteraVentidue Edizioni, 2021.

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7

Golan, Amos. The Metrics of Info-Metrics. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199349524.003.0003.

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In this chapter I present the key ideas and develop the essential quantitative metrics needed for modeling and inference with limited information. I provide the necessary tools to study the traditional maximum-entropy principle, which is the cornerstone for info-metrics. The chapter starts by defining the primary notions of information and entropy as they are related to probabilities and uncertainty. The unique properties of the entropy are explained. The derivations and discussion are extended to multivariable entropies and informational quantities. For completeness, I also discuss the comple

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8

Nizami, Iftikhar R. *. Uncertainty in psychophysics: evidence for the entropy theory of perception. 1988.

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9

Hackworth, John. Essay Concerning the History of Entropy and the Rise of Uncertainty. BookBaby, 2016.

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10

Rajagopal. Market Entropy: How to Manage Chaos and Uncertainty for Improved Organizational Performance. Business Expert Press, 2020.

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11

Rajagopal and Rajagopal Rajagopal. Market Entropy: How to Manage Chaos and Uncertainty for Improved Organizational Performance. Business Expert Press, 2020.

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12

The Science of Disorder: Understanding the Complexity, Uncertainty, and Pollution in Our World. Los Feliz Pub., 2002.

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13

Watts, Barry D. Clausewitzian Friction And Future War. Diane Pub Co, 2004.

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14

Watts, Barry D. Clausewitzian Friction & Future War. Diane Pub Co, 1996.

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15

Golan, Amos. A Complete Info-Metrics Framework. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199349524.003.0009.

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In this chapter I develop the complete info-metrics framework for inferring problems and theories under all types of uncertainty and missing information. That framework allows for uncertainty in the observed values and about the functional form, as captured by the constraints. Using the derivations of Chapter 8, it also extends the info-metrics framework to include priors. The basic properties of the complete framework are developed as well. Generally speaking, that framework can be viewed as a “meta-theory”—a theory of how to construct theories and consistent models given the available inform

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16

Stochastic model of the NASA/MSFC ground facility for large space structures with uncertain parameters: Part II, the maximum entropy approach. Dept. of Mathematics, University of Alabama, 1989.

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17

National Aeronautics and Space Administration (NASA) Staff. Stochastic Model of the Nasa/Msfc Ground Facility for Large Space Structures with Uncertain Parameters: The Maximum Entropy Approach, Part 2. Independently Published, 2018.

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18

Chen, Min, J. Michael Dunn, Amos Golan, and Aman Ullah, eds. Advances in Info-Metrics. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190636685.001.0001.

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Info-metrics is a framework for modeling, reasoning, and drawing inferences under conditions of noisy and insufficient information. It is an interdisciplinary framework situated at the intersection of information theory, statistical inference, and decision-making under uncertainty. In a recent book on the Foundations of Info-Metrics, Golan (OUP, 2018) provides the theoretical underpinning of info-metrics and the necessary tools and building blocks for using that framework. This volume complements Golan’s book and expands on the series of studies on the classical maximum entropy and Bayesian me

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