Share  Bookmark

 Download from




 Funded by

Aitkin, M. (1991). Posterior Bayes factors. Journal of the Royal Statistical Society. Series B. Statistical Methodology, 53(1), 111142.
Atkinson, A. C. (1978). Posterior probabilities for choosing a regression model. Biometrika, 65(1), 3948.
Barrick, J. E., Yu, D. S., Yoon, S. H., Jeong, H., Oh, T. K., Schneider, D., et al. (2009). Genome evolution and adaptation in a longterm experiment with Escherichia coli. Nature, 461(7268), 12431247.
Bartlett, M. S. (1957). A comment on D.V. Lindley's statistical paradox. Biometrika, 44, 533534.
Berger, J. O. (2006). The case for objective Bayesian analysis. Bayesian Analysis, 1, 385402.
Berger, J.O., & Bernardo, J.M. (1992). On the development of reference priors. In Bayesian statistics 4. Proceedings of the fourth valencia international meeting (pp. 3549).
Berger, J. O., & Pericchi, L. R. (1996). The intrinsic Bayes factor for model selection and prediction. Journal of the American Statistical Association, 91(433), 109122.
Berger, J. O., & Pericchi, L. R. (1998). Accurate and stable Bayesian model selection: The median intrinsic Bayes factor. Sankhya¯ : The Indian Journal of Statistics, Series B (19602002), 60(1), 118.
Berger, J. O., & Sellke, T. (1987). Testing a point null hypothesis: The irreconcilability of p values and evidence. Journal of the American Statistical Association, 82(397), 112122.
Berger, J. O., & Wolpert, R. L. (1988). The likelihood principle (2nd ed.). Hayward, CA: Institute of Mathematical Statistics.