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Invariance of the reference prior under reparametrization

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Summary

The Jeffreys prior is well known to have the property of invariance under reparametrization. The reference prior, defined in Bernardo (1979) and Berger and Bernardo (1992c), does not always possess this property. For the most important types of reparametrization, however, the reference prior is invariant.

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References

  • Bayarri, M. J. (1981). Inferencia Bayesiana sobre el coefficiente de correlación de una población normal bivariate.Trab. Estadist. 32, 18–31.

    MathSciNet  MATH  Google Scholar 

  • Bayarri, M. J. (1985). Bayesian inference on the parameters of the Beta distribution.Statistics and Decisions 2, 17–22.

    MathSciNet  Google Scholar 

  • Bayes, T. R. (1763). Essay towards solving a problem in the doctrine of chances.Biometrika 45 Reprinted in (1958): 243–315.

  • Berger, J. and Bernardo, J. M. (1989). Estimating a product of means: Bayesian analysis with reference priors.J. Amer. Statist. Assoc. 84, 200–207.

    Article  MathSciNet  MATH  Google Scholar 

  • Berger, J. and Bernardo, J. M. (1992a). Reference priors in a variance components problem.Bayesian Analysis in Statistics and Econometrics (P. Goel and N. S. Iyengar, eds.). New York: Springer-Verlag, 177–194.

    Google Scholar 

  • Berger, J. and Bernardo, J. M. (1992b). Ordered group reference priors with application to a multinomial problem.Biometrika 79, 25–37.

    Article  MathSciNet  MATH  Google Scholar 

  • Berger, J. and Bernardo, J. M. (1992c). On the development of the reference prior method.Bayesian Statistics 4 (J. M. Bernardo, J. O. Berger, A. P. Dawid and A. F. M. Smith, eds.), Oxford: University Press, 35–49.

    Google Scholar 

  • Berger, J., Bernardo, J. M. and Mendoza, M. (1989). On priors that maximize expected information,Recent Developments in Statistics and Their Applications, (J. P. Klein and J. C. Lee, eds.). Freedom Academy Publishing, Seoul, 1–20.

    Google Scholar 

  • Bernardo, J. M. (1975). Non-informative prior distributions: a subjectivist approach.Bull. Internat. Statist. Inst. 46, 94–97.

    MathSciNet  Google Scholar 

  • Bernardo, J. M. (1977). Interences about the ratio of normal means: a Bayesian approach to the Fieller—Creasy problem. IRecent Developments in Statistics (J. R. Barraet al. eds.). Amsterdam: North-Holland, 345–349.

    Google Scholar 

  • Bernardo, J. M. (1979). Reference posterior distributions for Bayes inference.J. Roy. Statist. Soc. B 41, 113–147, (with discussion).

    MathSciNet  MATH  Google Scholar 

  • Bernardo, J. M. (1981). Reference decisions.Symposia Mathematica 25, 85–94.

    Google Scholar 

  • Bernardo, J. M. (1982). Constraste de modelos probabilísticos desde una perspectiva Bayesiana.Trab. Estadist. 33, 16–30.

    MathSciNet  MATH  Google Scholar 

  • Bernardo, J. M. (1985). On a famous problem of induction.Trab. Estadist. 36, 24–30.

    MathSciNet  MATH  Google Scholar 

  • Bernardo, J. M. and Girón, F. J. (1988). A Bayesian analysis of simple mixture problems.Bayesian Statistics 3 (J. M. Bernardo, M. H. DeGroot, D. V. Lindley and A. F. M. Smith, eds.). Oxford: University Press, 67–78

    Google Scholar 

  • Bernardo, J. M. and Smith, A. F. M. (1994).Bayesian Theory. New York: Wiley.

    MATH  Google Scholar 

  • Dawid, A. P. (1983). Invariant Prior distributions.Encyclopedia of Statistical Sciences (Kotz, S. and Johnson, N. L. eds.),4, 228–238.

  • Eaves, D. M. (1985). On maximizing the missing information about a hypothesis.J. Roy. Statist. Soc. B 47, 263–265.

    MathSciNet  Google Scholar 

  • Ferrándiz, J. R. (1982). Una solución Bayesiana a la paradoja de Stein.Trab. Estadist. 33, 31–46.

    Article  MATH  Google Scholar 

  • Good, I. J. (1969). What is the use of a distribution?Multivariate Anal. (Krishnaiah, ed.), Vol.II, New York: Academic Press, 183–203.

    Google Scholar 

  • Hartigan, J. (1964). Invariant prior distributions.Ann. Math. Statist. 35, 836–845.

    MathSciNet  MATH  Google Scholar 

  • Jaynes, E. T. (1968). Prior probabilities.IEEE Trans. Systems, Science and Cybernetics 4, 227–241.

    Article  Google Scholar 

  • Jeffreys, H. (1937, 1961).Theory of Probability. Oxford: University Press.

    Google Scholar 

  • Kashyap, R. L. (1971). Prior probability and uncertainty.IEEE Trans. Information Theory 14, 641–650.

    Article  MathSciNet  Google Scholar 

  • Laplace, P. (1774). Mémoire sur la probabilityé des causes par les évenemens.Mem. Acad. R. Sci. Presentés par Divers Savans 6, 621–656 (translated inStatist. Sci. 1, 359–378).

    Google Scholar 

  • Laplace, P. (1812).Theorie Analytique des Probabilites. Paris: Courcier.

    Google Scholar 

  • Lindley, D. V. (1956). On a measure of the information provided by an experiment.Ann. Math. Statist. 27, 986–1005.

    MathSciNet  MATH  Google Scholar 

  • Lindley, D. V. (1961). The use of prior probability distributions in statistical inference and decisions.Proc. Fourth Berkeley Symp. 1 (J. Neyman and E. L. Scott, eds.). Berkeley: Univ. California Press, 436–468.

    Google Scholar 

  • Mendoza, M. (1987). A Bayesian analysis of a generalized slope ratio bioassay.Probability and Bayesian Statistics (R. Viertl, ed.), London: Plenum Press, 357–364.

    Google Scholar 

  • Mendoza, M. (1988). Inferences about the ratio of linear combinations of the coefficients in a multiple regression model.Bayesian Statistics 3 (J. M. Bernardo, M. H. DeGroot, D. V. Lindley and A. F. M. Smith, eds.), Oxford: Univesity Press, 705–711.

    Google Scholar 

  • Monette, G., Fraser, D. A. S. and Ng, K. W. (1984). Marginalization, likelihood, and structural models.Multivariate Analysis VI (P. R. Krishnaiah, ed.), Amsterdam: North-Holland, 209–217.

    Google Scholar 

  • Sun, D. C. and Ye, K. Y. (1995). Reference prior Bayesian analysis for normal mean products.J. Amer. Statist. Assoc. 90, 589–597.

    Article  MathSciNet  MATH  Google Scholar 

  • Yang, R. and Berger, J. O. (1994). Estimation of a covariance matrix using the reference prior.Ann. Statist. 22, 1195–1211.

    MathSciNet  MATH  Google Scholar 

  • Ye, K. Y. (1993). Reference priors when the stopping rule depends on the parameter of interest.J. Amer. Statist. Assoc. 88, 360–363.

    Article  MathSciNet  MATH  Google Scholar 

  • Ye, K. Y. (1994). Bayesian reference prior analysis on the ratio of variances for the balanced one-way random effect model.J. Statist. Planning and Inference 41, 267–280.

    Article  MATH  Google Scholar 

  • Ye, K. Y. and Berger, J. (1991). Noninformative priors for inference in exponential regression models.Biometrika 78, 645–656.

    Article  MathSciNet  MATH  Google Scholar 

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Yang, Y. Invariance of the reference prior under reparametrization. Test 4, 83–94 (1995). https://doi.org/10.1007/BF02563104

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