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Maximum Entropy and Bayesian Methods

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Cover of 'Maximum Entropy and Bayesian Methods'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Probability Theory as Logic
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    Chapter 2 Probability Theory and the Associativity Equation
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    Chapter 3 Objective Bayesianism and Geometry
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    Chapter 4 Consistency Principle for Data-Based Probabilistic Inference
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    Chapter 5 An Introduction to Parameter Estimation Using Bayesian Probability Theory
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    Chapter 6 From Laplace to Supernova SN 1987A: Bayesian Inference in Astrophysics
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    Chapter 7 Atmospheric 14 C Variations: A Bayesian Prospect
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    Chapter 8 On Decoupling Probability from Kinematics in Quantum Mechanics
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    Chapter 9 Bayesian Model Selection and Parameter Estimation Applied to Sea Floor Pressure Data
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    Chapter 10 Applications of Maximum Entropy and Bayesian Methods in Neutron Scattering
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    Chapter 11 The Conditional Entropy of a Canonical Constraint
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    Chapter 12 Solving Oversampled Data Problems By Maximum Entropy
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    Chapter 13 Constructing Priors in Maximum Entropy Methods
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    Chapter 14 Maximum Entropy with Nonlinear Constraints: Physical Examples
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    Chapter 15 Maximum Entropy Description of Plasma Equilibrium
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    Chapter 16 Linear Inversion by the Maximum Entropy Method with Specific Non-Trivial Prior Information
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    Chapter 17 Minimum Dissipation And Maximum Entropy
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    Chapter 18 Maximum Entropy and Equations of State for Random Cellular Structures
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    Chapter 19 Delay Estimation using Maximum Entropy Derived Phase Information
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    Chapter 20 Drug Absorption in Man, and its Measurement by MaxEnt
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    Chapter 21 Quantified Maximum Entropy
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    Chapter 22 Quantified Maxent: An NMR Application
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    Chapter 23 Maximum Entropy Reconstruction of Radar Cross-Section Images
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    Chapter 24 FIER: A Filtered Entropy Approach to Maxium Entropy Image Restoration
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    Chapter 25 Regularisation in Coded-Aperture Spect
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    Chapter 26 Burg Algorithm Applied to Fourier Transform ION Cyclotron Resonance Mass Spectrometry
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    Chapter 27 Maximum Entropy Analysis for Pattern Recognition
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    Chapter 28 Application of Burg’s Spectral Analysis to Heave Response Modeling in Underwater Applications
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    Chapter 29 Maximum Entropy and Minimum Cross-Entropy Principles: Need for a Broader Perspective
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    Chapter 30 The Inverse MaxEnt and MinxEnt Principles and their Applications
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    Chapter 31 A Comprative Assessment of Entropic and Non-Entropic Methods of Estimation
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    Chapter 32 Maxent Applied To Linear Regression
Attention for Chapter 1: Probability Theory as Logic
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Chapter title
Probability Theory as Logic
Chapter number 1
Book title
Maximum Entropy and Bayesian Methods
Published by
Springer, Dordrecht, January 1990
DOI 10.1007/978-94-009-0683-9_1
Book ISBNs
978-9-40-106792-8, 978-9-40-090683-9
Authors

E. T. Jaynes, Jaynes, E. T.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 5%
United Kingdom 2 2%
Germany 1 <1%
Turkey 1 <1%
India 1 <1%
Mexico 1 <1%
Italy 1 <1%
Romania 1 <1%
Argentina 1 <1%
Other 2 2%
Unknown 94 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 25%
Researcher 27 25%
Other 11 10%
Student > Bachelor 8 7%
Professor 7 6%
Other 14 13%
Unknown 15 14%
Readers by discipline Count As %
Physics and Astronomy 22 20%
Computer Science 15 14%
Agricultural and Biological Sciences 13 12%
Engineering 7 6%
Mathematics 5 5%
Other 31 28%
Unknown 17 15%