Abstract
We note some general features concerning present activity in Maximum Entropy and Bayesian inference, and try to foresee how they may develop in the future. We see ahead great promise, but also potential dangers.
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References
Adams, J. B.: 1976, ‘A Probability Model of Medical Reasoning and the MYCIN Model’, Math. Biosciences 32, 177–186.
Barndorf-Nielsen, O.: 1978, Information and Exponential Families in Statistical Theory, J. Wiley & Sons, New York.
Bretthorst, G.L.: 1988, Bayesian Spectrum Analysis and Parameter Estimation, Springer Lecture Notes in Physics, Vol. 48, Springer-Verlag, Berlin.
Burg, John Parker: 1975, Maximum Entropy Spectrum Analysis, Ph.D. Thesis, Stanford University.
Daniell, G.J. and J.A. Potton: 1989, ‘Liquid Structure Factor Determination by Neutron Scattering — Some Dangers of Maximum Entropy’, in Maximum Entropy and Bayesian Methods, Proceedings of the Eighth MAXENT Workshop, J. Skilling (ed.) Cambridge, England, Kluwer Academic Publishers, Dordrecht, The Netherlands, 151–162.
Dieudonné, J. and J.B. Carrel: 1971, Invariant Theory, Old and New, Academic Press, New York.
Dreyfus, H.L.: 1979, What Computers Can’t do, the Limits of Artificial Intelligence, Harper & Row Publishers, New York.
Goetz, P.: 1985, ‘Calculating Probabilities’, BYTE magazine November, 14.
Graubard, S.R.: 1988, The Artificial Intelligence Debate: False Starts, Real Foundations, MIT Press, Cambridge MA.
Hahn, G.J.: 1985, ‘More Intelligent Statistical Software and Statistical Expert Systems: Future Directions’, The American Statistician 38, 1–16.
Hayes-Roth, F., D.A. Waterman, and D.B. Lenat, D. B.: 1983, Building Expert Systems, Addison-Wesley, Reading, MA.
Jaynes, E.T.: 1957, ‘Information Theory and Statistical Mechanics II’, Phys. Rev. 108, 171–190; 186.
Jaynes, E.T.: 1982, ‘On the Rationale of Maximum Entropy Methods’, Proc. IEEE 70, 939–952.
Jaynes, E.T.: 1991, ‘Commentary on Two Articles by C. A. Los’, to be published in Vol. 3 of special issues, On System-theoretic Methods in Economic Modelling, S. Mittnik (ed.), in Computers and Mathematics with Applications; and subsequently as a monograph by Pergamon Press.
Kaiman, R.E.: 1981, ‘Realization of Covariance Sequences’, in Proceedings of the Toeplitz Memorial Conference, Tel Aviv University; 331–342.
Los, C.A.: 1989, Computers Math. Applic. 17, 1269–1304.
Michaelsen, R., D. Michie, and A. Boulanger: 1985, BYTE Magazine, April, 111.
Michaelsen, R.: 1985, Reply to Goetz, BYTE November, 14.
Penrose, O.: 1979, ‘Foundations of Statistical Mechanics’, Rep. Prog. Phys. 42, 1937–2006.
Pregibon, D. and W.A. Gale: 1984, ‘REX: an Expert System for Regression Analysis’, in T. Havranek, Z. Sidak, and M. Novak (eds.), Proceedings of COMPSTAT 84, Physica-Verlag, 242–248.
Seidenfeld, T.: 1979, ‘Why I am not an Objective Bayesian’, Theory and Decision 11, 413–440.
Shortliffe, E. and B. Buchanan: 1975, ‘A Model of Inexact Reasoning in Medicine’, Mathematical Biosciences 23, 351.
Shortliffe, E.H.: 1976, Computer Based Medical Consultations: MYCIN, American Elsevier Press, New York.
Skilling, J. (ed.): 1989, Maximum Entropy and Bayesian Methods Proceedings of the Eighth MAXENT Workshop, Cambridge, England, August, 1988, Kluwer Academic Publishers, Dordrecht, The Netherlands.
Spiegelhalter, D.J. and R.P. Knill-Jones: 1984, ‘Statistical and knowledge-based approaches to clinical decision-support systems’, J. Roy. Stat. Soc. (B) 147, 35–77.
Spiegelhalter, D.J.: 1985, ‘A Statistical View of Uncertainty in Expert Systems’, in Proceedings of the Workshop on Artificial Intelligence and Statistics, AT&T Bell Laboratories, Princeton, New Jersey.
Tversky, A. and D. Kahneman: 1981, ‘The Framing of Decisions and the Psychology of Choice’, Science 211, 453–458.
Wigner, E.: 1949, Remarks made in an evening informal Commons Room discussion at the Graduate College, Princeton, attended by the writer.
Wood, R.W.: 1911, Physical Optics, MacMillan, New York, 3rd edition, 1934.
Zellner, A.: 1971, An Introduction to Bayesian Inference in Econometrics, Wiley, New York, Chapter 5; reprinted by R.E. Krieger Pub. Co., Malabar, Florida, 1987.
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Jaynes, E.T. (1991). Notes on Present Status and Future Prospects. In: Grandy, W.T., Schick, L.H. (eds) Maximum Entropy and Bayesian Methods. Fundamental Theories of Physics, vol 43. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-3460-6_1
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DOI: https://doi.org/10.1007/978-94-011-3460-6_1
Publisher Name: Springer, Dordrecht
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