Maximum-Entropy and Bayesian Methods in Science and Engineering: Vol. 1 ; Foundations

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Gary J. Erickson, C. Ray Smith
Springer Science & Business Media, 1988 - Mathematics - 314 pages
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Contents

How Does the Brain Do Plausible Reasoning?
1
THE RELATION OF BAYESIAN AND MAXIMUM ENTROPY METHODS
25
AN ENGINEER LOOKS AT BAYES
31
BAYESIAN INDUCTIVE INFERENCE AND MAXIMUM ENTROPY
53
Excerpts from Bayesian Spectrum Analysis and Parameter Estimation
75
DETECTION OF EXTRASOLAR SYSTEM PLANETS
147
STOCHASTIC COMPLEXITY AND THE MAXIMUM ENTROPY PRINCIPLE
161
THE AXIOMS OF MAXIMUM ENTROPY
173
Quantum Density Matrix and Entropic Uncertainty
235
INFORMATIONTHEORETICAL GENERALIZATION OF THE UNCERTAINTY PRINCIPLE
245
TIME ENERGY AND THE LIMITS OF MEASUREMENT
249
ON A DETECTION ESTIMATOR RELATED TO ENTROPY
257
THE EVOLUTION OF CARNOTS PRINCIPLE
267
A LOGIC OF INFORMATION SYSTEMS
283
METHODOLOGICAL PRINCIPLES OF UNCERTAINTY IN INDUCTIVE MODELLING
295
COMPARISON OF MINIMUM CROSSENTROPY INFERENCE WITH MINIMALLY INFORMATIVE INFORMATION SYSTEMS
305

UNDERSTANDING IGNORANCE
189
MAXIMUM ENTROPY CALCULATIONS ON A DISCRETE PROBABILITY SPACE
205

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