Statistical Science

Comment

Arnold Zellner
Source: Statist. Sci. Volume 24, Number 2 (2009), 187-190.
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Permanent link to this document: http://projecteuclid.org/euclid.ss/1263478379
Digital Object Identifier: doi:10.1214/09-STS284C
Mathematical Reviews number (MathSciNet): MR2655847

References

Billingsley, P. (1986). Probability and Measure. Wiley, New York.
Mathematical Reviews (MathSciNet): MR830424
De Finetti, B. (1970). The Theory of Probability. Wiley, New York.
Feller, W. (1997). An Introduction to Probability Theory and Its Applications. Wiley.
Geisser, S. (1980). The contributions of Sir Harold Jeffreys to Bayesian inference. In Bayesian Analysis in Econometrics and Statistics: Essays in Honor of Harold Jeffreys (A. Zellner, ed.) 13–20. North-Holland, Amsterdam. (Reprinted 1989.)
Mathematical Reviews (MathSciNet): MR576546
Good, I. J. (1962). Review of Harold Jeffreys’s Theory of Probability, 3rd ed. J. Roy. Statist. Soc. Ser. A 125 487–489.
Good, I. J. (1980). The Contributions of Sir Harold Jeffreys to Bayesian inference. In Bayesian Analysis in Econometrics and Statistics: Essays in Honor of Harold Jeffreys (A. Zellner, ed.) 21–34. North-Holland, Amsterdam. (Reprinted 1989.)
Mathematical Reviews (MathSciNet): MR576546
Jaynes, E. T. (2003). Probability Theory: The Logic of Science. Cambridge Univ. Press, Cambridge.
Mathematical Reviews (MathSciNet): MR1992316
Jeffreys, H. (1967). Theory of Probability, 3rd ed. Oxford Univ. Press, Oxford.
Zellner, A. (1988). Optimal information processing and Bayes’s theorem. Amer. Statist. 42 278–294 [with discussion by E. T. Jaynes, B. M. Hill, J. M. Bernardo and S. Kullback and the author’s response (reprinted in Zellner (1997b)].
Mathematical Reviews (MathSciNet): MR971095
Digital Object Identifier: doi:10.2307/2685143
Zellner, A. (1997a). Past and recent results on maximal data information priors. In Bayesian Analysis in Econometrics and Statistics. The Zellner View and Papers 127–148. Edward Elgar, Cheltenham, UK and Lyme, US.
Zellner, A. (1997b). Bayesian Analysis in Econometrics and Statistics. The Zellner View and Papers. Edward Elgar, Cheltenham, UK and Lyme, US.
Zellner, A. (2007). Generalizing the standard product rule of probability theory. J. Econom. 138 14–23.
Mathematical Reviews (MathSciNet): MR2380691
Digital Object Identifier: doi:10.1016/j.jeconom.2006.05.013
Zellner, A., Kuezenkamp, H. and McAleer, M., eds. (2001). Simplicity, Inference and Modeling (Keeping It Sophisticatedly Simple). Cambridge Univ. Press, Cambridge.
Mathematical Reviews (MathSciNet): MR1928576

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Statistical Science

Statistical Science