Chapter 5 References

  1. Berger, J. (1985). Statistical Decision Theory and Bayesian Analysis, 2nd ed. Springer, New York.

  2. Gelman, Andrew, et al. (2013). Bayesian data analysis. Chapman and Hall/CRC.

  3. Good, I. (1980). The contributions of Jeffreys to Bayesian statistics. In Bayesian Analysis in Econometrics and Statistics: Essays in Honor of Harold Jeffreys 21–34. North-Holland, Amsterdam.

  4. Jeffreys, H. (1939). Theory of Probability, 1st ed. The Clarendon Press, Oxford.

  5. Jeffreys, H. (1948). Theory of Probability, 2nd ed. The Clarendon Press, Oxford.

  6. Jeffreys, H. (1961). Theory of Probability, 3rd ed. Oxford Classic Texts in the Physical Sciences. Oxford University Press, Oxford.

  7. Jordan, M. (2010). Lecture 6: Jeffreys priors [Lecture notes]. Retrieved from https://people.eecs.berkeley.edu/~jordan/courses/260-spring10/lectures/lecture6.pdf

  8. Jordan, M. (2010). Lecture 7: Jeffreys priors and reference priors [Lecture notes]. Retrieved fromhttps://people.eecs.berkeley.edu/~jordan/courses/260-spring10/lectures/lecture7.pdf

  9. Kass, R. & Wasserman, L. (1996). Formal rules of selecting prior distributions: A review and annotated bibliography. Journal of the American Statistical Association 91, 343–1370

  10. Lindley, D. (1980). Jeffreys’s contribution to modern statistical thought. In Bayesian Analysis in Econometrics and Statistics: Essays in Honor of Harold Jeffreys 35–39. North-Holland, Amsterdam.

  11. Liu, Han & Wasserman, Larry. (2014) Statistical Machine Learning, 310-312. Unpublished Manuscript, CMU. Retrieved from http://www.stat.cmu.edu/~larry/=sml/Bayes.pdf

  12. Rao, S. S. A review of results in Statistical Inference. [Lecture notes] Retrieved from http://www.stat.tamu.edu/~suhasini/teaching613/inference.pdf

  13. Robert, C. P., Chopin, N., & Rousseau, J. (2009). Harold Jeffreys’s Theory of Probability Revisited. Statistical Science 24(2), 141-172.

  14. Tokdar, S. T. (2011). The Jeffreys Prior. [Lecture notes] Retrieved from https://www2.stat.duke.edu/courses/Fall11/sta114/jeffreys.pdf

  15. Yang, R. & Berger, J. (1998). A catalog of noninformative priors. Durham, NC: Institute of Statistics and Decision Sciences. Retrieved from http://www.stats.org.uk/priors/noninformative/YangBerger1998.pdf