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Bayesian Statistics

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References and Further Reading

  • Bartlett M (1957) A comment on D.V. Lindley’s statistical paradox. Biometrika 44:533–534

    MATH  MathSciNet  Google Scholar 

  • Berger JO (1985) Statistical decision theory and Bayesian analysis. Springer, Berlin

    MATH  Google Scholar 

  • Berger JO (2000) Bayesian analysis: a look at today and thoughts of tomorrow. J Am Stat Assoc 95:1269–1276

    MATH  Google Scholar 

  • Berger JO, Bernardo JM (1989) Estimating a product of means: Bayesian analysis with reference priors. J Am Stat Assoc 84:200–207

    MATH  MathSciNet  Google Scholar 

  • Berger JO, Bernardo JM (1992) On the development of reference priors. In: Bernardo JM, Berger JO, Dawid AP, Smith AFM (eds) Bayesian statistics, vol 4. Oxford University Press, Oxford, pp 35–60 (with discussion)

    Google Scholar 

  • Berger J, Bernardo JM, Sun D (2009a) The formal definition of reference priors. Ann Stat 37:905–938

    MATH  MathSciNet  Google Scholar 

  • Berger JO, Bernardo JM, Sun D (2009b) Natural induction: an objective Bayesian approach. Rev Acad Sci Madrid A 103:125–159 (with discussion)

    Google Scholar 

  • Bernardo JM (1979a) Expected information as expected utility. Ann Stat 7:686–690

    MATH  MathSciNet  Google Scholar 

  • Bernardo JM (1979b) Reference posterior distributions for Bayesian inference. J R Stat Soc B 41: 113–147 (with discussion). In: Tiao GC, Polson GC (eds) Reprinted in Bayesian Inference 1. Edward Elgar, Oxford, pp 229–263

    Google Scholar 

  • Bernardo JM (1997) Noninformative priors do not exist. J Stat Plann Infer 65:159–189 (with discussion)

    Google Scholar 

  • Bernardo JM (2005a) Reference analysis. In: Dey DK, Rao CR (eds) Handbook of Statistics, vol 25. Elsevier, Amsterdam, pp 17–90

    Google Scholar 

  • Bernardo JM (2005b) Intrinsic credible regions: An objective Bayesian approach to interval estimation. Test 14:317–384 (with discussion)

    Google Scholar 

  • Bernardo JM (2010) Integrated objective Bayesian estimation and hypothesis testing. In: Bernardo JM et al. (eds) Bayesian Statistics 9. Oxford: Oxford University Press, (to appear, with discussion)

    Google Scholar 

  • Bernardo JM, Ramón JM (1998) An introduction to Bayesian reference analysis: inference on the ratio of multinomial parameters. The Statistician 47:1–35

    Google Scholar 

  • Bernardo JM, Rueda R (2002) Bayesian hypothesis testing: a reference approach. Int Stat Rev 70:351–372

    MATH  Google Scholar 

  • Bernardo JM, Smith AFM (1994) Bayesian theory. Wiley, Chichester

    MATH  Google Scholar 

  • Bernardo JM, Bayarri MJ, Berger JO, Dawid AP, Heckerman D, Smith AFM, West M (eds) (2003) Bayesian statistics 7. Oxford University Press, Oxford

    MATH  Google Scholar 

  • Bernardo JM, Bayarri MJ, Berger JO, Dawid AP, Heckerman D, Smith AFM, West M (eds) (2007) Bayesian statistics 8. Oxford University Press, Oxford

    MATH  Google Scholar 

  • Berry DA (1996) Statistics, a Bayesian perspective. Wadsworth, Belmont

    Google Scholar 

  • Box GEP, Tiao GC (1973) Bayesian inference in statistical analysis. Addison-Wesley, Reading

    MATH  Google Scholar 

  • Dawid AP, Stone M, Zidek JV (1973) Marginalization paradoxes in Bayesian and structural inference. J R Stat Soc B 35:189–233 (with discussion)

    Google Scholar 

  • de Finetti B (1970) Teoria delle Probabilità. Einaudi, Turin. English translation: Theory of Probability (1975) Wiley, Chichester

    Google Scholar 

  • DeGroot MH (1970) Optimal statistical decisions. McGraw-Hill, New York

    MATH  Google Scholar 

  • de Finetti B (1937) La prvision, ses lois logiques, ser sources sunjecives. Ann Inst Henri Poincaré 7:1–68

    Google Scholar 

  • Efron B (1986) Why isn’t everyone a Bayesian? Am Stat 40:1–11 (with discussion)

    Google Scholar 

  • Geisser S (1993) Predictive inference: an introduction. Chapman and Hall, London

    MATH  Google Scholar 

  • Gelfand AE, Smith AFM (1990) Sampling based approaches to calculating marginal densities. J Am Stat Assoc 85: 398–409

    MATH  MathSciNet  Google Scholar 

  • Gelman A, Carlin JB, Stern H, Rubin DB (1995) Bayesian data analysis. Chapman and Hall, London

    Google Scholar 

  • Gilks WR, Richardson S, Spiegelhalter DJ (1996) Markov chain Monte Carlo in practice. Chapman and Hall, London

    MATH  Google Scholar 

  • Jaynes ET (1976) Confidence intervals vs Bayesian intervals. In: Harper WL, Hooker CA (eds) Foundations of probability theory, statistical inference and statistical theories of science, vol 2. Reidel, Dordrecht, pp 175–257 (with discussion)

    Google Scholar 

  • Jeffreys H (1961) Theory of probability, 3rd edn. Oxford University Press, Oxford

    MATH  Google Scholar 

  • Kass RE, Raftery AE (1995) Bayes factors. J Am Stat Assoc 90: 773–795

    MATH  Google Scholar 

  • Laplace PS (1812) Théorie Analitique des Probabilités. Paris: Gauthier-Villars

    Google Scholar 

  • Lindley DV (1957) A statistical paradox. Biometrika 44:187–192

    MATH  MathSciNet  Google Scholar 

  • Lindley DV (1958) Fiducial distribution and Bayes theorem. J R Stat Soc B 20:102–107

    MATH  MathSciNet  Google Scholar 

  • Lindley DV (1965) Introduction to probability and statistics from a Bayesian viewpoint. Cambridge University Press, Cambridge

    MATH  Google Scholar 

  • Lindley DV (1972) Bayesian Statistics, a review. SIAM, Philadelphia

    Google Scholar 

  • Lindley DV (1985) Making Decisions, 2nd edn. Wiley, Chichester

    Google Scholar 

  • Lindley DV (2000) The philosophy of statistics. The Statistician 49:293–337 (with discussion)

    Google Scholar 

  • O’Hagan A (1994) Bayesian Inference. Edward Arnold, London

    MATH  Google Scholar 

  • Press SJ (1972) Applied multivariate analysis: using Bayesian and frequentist methods of inference. Krieger, Melbourne

    Google Scholar 

  • Ramsey FP (1931) Truth and probability. In: Braithwaite RB (ed) The foundations of mathematics and other logical essays. London: Kegan Paul, pp 156–198

    Google Scholar 

  • Wald A (1950) Statistical decision functions. Wiley, Chichester

    MATH  Google Scholar 

  • West M, Harrison PJ (1989) Bayesian forecasting and dynamic models. Springer, Berlin

    MATH  Google Scholar 

  • Zellner A (1971) An introduction to Bayesian inference in econometrics. Wiley, New York. Reprinted in 1987, Krieger, Melbourne

    Google Scholar 

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Bernardo, J.M. (2011). Bayesian Statistics. In: Lovric, M. (eds) International Encyclopedia of Statistical Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04898-2_139

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