Abstract
Further progress in scientific inference must, in our view, come from some kind of unification of our present principles. As a prerequisite for this, we note briefly the great conceptual differences, and the equally great mathematical similarities, of Bayesian and Maximum Entropy methods.
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Bretthorst, L. (1987), Ph.D. Thesis, Department of Physics, Washington University, St. Louis, Missouri.
Jaynes, E. T. (1968), “Prior Probabilities”, IEEE Trans. Systems Sci. Cybern. SSC-4, 227–241 (1968). Reprinted in V. M. Rao Tummala and R. C. Henshaw, Eds., Concepts and Applications of Modern Decision Methods (Michigan State University Business Studies Series, 1976), and in Jaynes (1983).
Jaynes, E. T. (1983), Papers on Probability, Statistics and Statistical Physics”, R. D. Rosenkrantz, Editor, D. Reidel Pub. Co., Dordrecht-Holland. Reprints of 14 papers dated 1957-1980.
Jeffrey, R. C. (1983), The Logic of Decision, 2nd Edition, Univ. of Chicago Press.
van Campenhout, J. & Cover, T. M. (1981), IEEE Trans. Inform. Theory IT-27, 483.
Williams, P.M. (1980), “Bayesian Conditionalisation and the Principle of Minimum Information”, Brit. J. Phil. Sci. 31, 131–144. The same mathematical fact was noted by R. D. Rosenkrantz, Inference, Method and Decision, D. Reidel, Dordrecht-Holland (1977); 55–57.
Zellner, A. (1987), “Optimal Information Processing and Bayes’ Theorem” The American Statistician (to be published).
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© 1988 Kluwer Academic Publishers
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Jaynes, E.T. (1988). The Relation of Bayesian and Maximum Entropy Methods. In: Erickson, G.J., Smith, C.R. (eds) Maximum-Entropy and Bayesian Methods in Science and Engineering. Fundamental Theories of Physics, vol 31-32. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-3049-0_2
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DOI: https://doi.org/10.1007/978-94-009-3049-0_2
Publisher Name: Springer, Dordrecht
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